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2011
2
2
198
Solving Fuzzy Differential Equations by Runge-kutta Method
Solving Fuzzy Differential Equations by Runge-kutta Method
en
en
In this paper, we interpret a fuzzy differential equation (FDE) by using the strongly generalized differentiability concept. Then we show that by this concept any FDE can be transformed to a system of ordinary differential equations (ODEs). Next by solving the associate ODEs we will find two solutions for FDE. Here we express the generalized Runge-Kutta approximation method of order two and analyze its error. Finally one example in the nuclear decay equation show the rich behavior of the method.
208
221
Z.
Akbarzadeh Ghanaie
M.
Mohseni Moghadam
fuzzy differential equation
generalized differentiability
generalized Runge-Kutta method.
Article.1.pdf
[
[1]
S. Abbasbandy, T. A. Viranloo, Numerical solutions of fuzzy differential equations by Taylor method, Journal of Computational Methods in applied Mathematics, 2 (2002), 113-124
##[2]
S. Abbasbandy, T. A. Viranloo, Ó. López-Pouso, J. J. Nieto, Numerical methods for fuzzy differential inclusions, Journal of Computer and Mathematics with Applications, 48 (2004), 1633-1641
##[3]
T. Allahviranloo, N. Ahmady, E. Ahmady, Numerical solution of fuzzy differential equations by predictor-corrector method, Inform. Sci., 177 (2007), 1633-1647
##[4]
B. Bede, Note on “Numerical solutions of fuzzy differential equations by predictor–corrector method”, Inform. Sci., 178 (2008), 1917-1922
##[5]
B. Bede, S. G. Gal, Almost periodic fuzzy-number-valued functions, Fuzzy Sets and Systems, 147 (2004), 385-403
##[6]
B. Bede, S. G. Gal, Generalizations of the differentiability of fuzzy-number-valued functions with applications to fuzzy differential equations, Fuzzy Sets and Systems, 151 (2005), 581-599
##[7]
J. C. Butcher, Numerical methods for ordinary differential equations, John Wiley & Sons, Great Britain (2003)
##[8]
Y. Chalco-Cano, H. Roman-Flores, On new solutions of fuzzy differential equations, Chaos Solitons Fractals, 38 (2008), 112-119
##[9]
S. S. L. Chang, L. A. Zadeh, On fuzzy mapping and control, IEEE Trans. Systems Man Cybernet., 2 (1972), 30-34
##[10]
P. Diamond, Stability and periodicity in fuzzy differential equations, IEEE Trans. Fuzzy Systems, 8 (2000), 583-590
##[11]
D. Dubois, H. Prade, Towards fuzzy differential calculus: part 3, differentiation, Fuzzy Sets and Systems, 8 (1982), 225-233
##[12]
R. Goetschel, W. Voxman, Elementary fuzzy calculus, Fuzzy Sets and Systems, 18 (1986), 31-43
##[13]
E. Hüllermeier, An approach to modeling and simulation of uncertain dynamical systems, Internat. J. Uncertainty Fuzzyness Knowledge-Based Systems, 5 (1997), 117-137
##[14]
O. Kaleva, Fuzzy differential equations, Fuzzy Sets and Systems, 24 (1987), 301-317
##[15]
O. Kaleva, The Cauchy problem for fuzzy differential equations, Fuzzy Sets and Systems, 35 (1990), 389-396
##[16]
A. Khastan, K. Ivaz, Numerical solution of fuzzy differential equations by Nystrom method, Chaos Solitons Fractals, 41 (2009), 859-868
##[17]
M. Ma, M. Friedman, A. Kandel, Numerical solutions of fuzzy differential equations, Fuzzy Sets and Systems, 105 (1999), 133-138
##[18]
J. J. Nieto, A. Khastan, K. Ivaz, Numerical solution of fuzzy differential equations under generalized differentiability, Nonlinear Analysis: Hybrid System, 3 (2009), 700-707
##[19]
M. L. Puri, D. A. Ralescu, Differentials of fuzzy functions, J. Math. Anal. Appl., 91 (1983), 552-558
##[20]
S. Seikkala, On the fuzzy initial value problem, Fuzzy Sets and Systems, 24 (1987), 319-330
##[21]
S. Song, C. Wu, Existence and uniqueness of solutions to the Cauchy problem of fuzzy differential equations, Fuzzy Sets and Systems, 110 (2000), 55-57
]
A Novel Fuzzy Expert System Using Image Processing for Sale Car Shape with Online Membership Function
A Novel Fuzzy Expert System Using Image Processing for Sale Car Shape with Online Membership Function
en
en
In This paper we proposed a novel fuzzy retrieval system for purchasing cars employing image processing. The car shape is an important factor when selecting a car type. This system aims to support persons who are not good with cars. When we try to purchase a car, they can use this system easily as if they ask casually someone else who knows more about car. Unspecific conditions are expressed by the fuzzy set, and the level matching conditions are expressed by the grade values. To use this more practically, a GUI form with selection menus is developed. This system is designed to change membership function automatically for improving usability of this system. In addition, calculating curvature by the car shape using the image processing, and adding items for selecting a car shape from roundness and sharpness. Furthermore, the effectiveness of applying fuzzy logic to express man’s subjectivity when selecting car type.
222
232
Seyyed Mohammad Reza
Farshchi
Mahdi
Yaghoobi
Fuzzy logic
Online Membership
Fair Car
Fuzzy Retrieval System.
Article.2.pdf
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J. S. R. Jang, ANFIS: adaptive network based fuzzy inference system, IEEE Transaction on System and Management, 23 (1993), 665-685
]
Age Estimation, a Gabor PCA-LDA Approach
Age Estimation, a Gabor PCA-LDA Approach
en
en
Automatic human age estimation has considerable potential applications in human computer interaction and multimedia communication. In this paper the Gabor wavelet and its characteristics as a powerful mathematical and biological tool, was used for feature extraction. A combination of Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) was used to reduce dimension and enhance class separability. Finally Euclidean distance was used to classify the images into one of three major groups. These groups are: Group1 (0 to 3 years), Group2 (5 to 10 years) and Group3 (20 to 80 years). The robustness and accuracy of the proposed system was tested on the FG-NET [1] and MORPH [2] public face aging databases. This system was able to achieve 90% accuracy.
233
240
P.
Pirozmand
M.
Fadavi Amiri
F.
Kashanchi
Nichelle Yugeeta
Layne
age classification
Gabor features
PCA
LDA
Article.3.pdf
[
[1]
, FG-NET Aging Database, http://www.fgnet.rsunit.com, (), -
##[2]
K. Ricanek, T. Tesafaye, MORPH: A Longitudinal Image Database of Normal Adult Age-Progression, IEEE 7th International Conference on Automatic Face and Gesture Recognition (Southampton, UK), 2006 (2006), 341-345
##[3]
Y. H. Kwon, N. da Vitoria Lobo, Age Classification from Facial Images, Computer Vision and Image Understanding, 74 (1999), 1-21
##[4]
X. Geng, Z. H. Zhou, Y. Zhang, G. Li, H. Dai, Learning from Facial Aging Patterns for Automatic Age Estimation, Proceedings of the 14th ACM international conference on Multimedia, 2006 (2006), 307-316
##[5]
G. Guo, Y. Fu, T. S. Huang, C. R. Dyer, Locally adjusted robust regression for human age estimation, IEEE Workshop on Applications of Computer Vision, 2008 (2008), 1-6
##[6]
K. Ricanek, Y. Wang, C. Chen, S. J. Simmons, Generalized multi-ethnic face age-estimation, Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems, 2009 (2009), 127-132
##[7]
C. Liu, H. Wechsler, Gabor Feature Based Classification Using the Enhanced Fisher Linear Discriminant Model for Face Recognition, IEEE Trans. on Image Processing, 11 (2002), 467-476
##[8]
M. Kirby, L. Sirovich, Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces, IEEE Trans on Pattern Analysis and Machine Intelligence, 12 (1990), 103-108
##[9]
P. N. Belhumeur, J. P. Hespanha, D. J. Kriegman, Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection, IEEE Trans. on Pattern and Machine Intelligence, 19 (1997), 711-720
##[10]
L.-L. SHEN, Z. JI, Gabor Wavelet Selection and SVM Classification for Object Recognition, Acta Automatica Sinica, 35 (2009), 350-355
]
The Estimation of Transference Rate HIV Infection into AIDS and Mortality in Children by Fuzzy Control
The Estimation of Transference Rate HIV Infection into AIDS and Mortality in Children by Fuzzy Control
en
en
Mathematical study of epidemic diseases is done for evaluation and control of diseases.certain and classis model of mathematics that describe this phenomenons frequently can not peruse all aspects for effect the model, because human biengs have different physiologic properties and circumstance.then they can not be perused as a same organism, then we shold tent to models that consider all aspect for survey of disease process with real and practical conditions.Rally this theory to disease can model with fuzzy mathematic.Over the last decade, the mathematical literature on uncertainty and fuzziness has grown considerably in system modeling, optimization, control in medical sciences.and several authors have advocated the use of fuzzy set theory in epidemiology diseases.Since the advent of the HIV infection, several mathematical models have been developed to describe its dynamics but that models has been perused with certain mathematic.In this paper we suggest fuzzy set theory, to estimation of transference rate of positive HIV population to AIDS (acquired immunodeficiency syndrome) in children manifestation And Estimation Rate Death In Children Using fuzzy control. Clinical examination of physicians confirm that transference rate of positive HIV population to AIDS is not certain and remarkably depend to essential factors like CD4 lymphosite cells count and viral load count and age of infected individual.in this research the transferens rate of positive HIV population to AIDS in children and And Estimation Rate Death In Children has estimated as a function of CD4 lymphosite cells count and viral load count and age of infected individual.After solve the model, with our algorithm ,the result corroborate the clinical real methical data with good access.
241
254
Ali
Vahidian Kamyad
Mojtaba
Shokohi Nia
Mohammmad Reza
Shokohi Nia
Fuzzy control
CD4+ T lymphosite
HIV Infection.
Article.4.pdf
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[1]
L. X. Wang , A Course in Fuzzy Systems and Control, Prentice-Hall, Upper Saddle River (1996)
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A. Vahidian Kamyad, H. Tareghian, An introduction to fuzzy logic for practical application (Translated in Persian), Ferdowsi University of Mashhad, Mashhad (2002)
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A. Guarino, M. I. Spagnuolo, V. Giacomet, R. B. Canani, E. Bruzzese, C. Giaquinto, P. Roggero, A. Plebani, G. C. Gattinara, Effects of Nutritional Rehabilitation on Intestinal Function and on CD4 Cell Number in Children With HIV, Journal of pediatric gastroenterology and nutrition, 34 (2002), 366-371
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W. W. Fawzi, G. I. Msamanga, D. Hunter, B. Renjifo, G. Antelman, H. Bang, K. Manji, S. Kapiga, D. Mwakagile, M. Essex, D. Spiegelman, Randomized trial of vitamin supplements in relation to transmission of HIV-1 through breastfeeding and early child mortality, Aids, 16 (2002), 1935-1944
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A. Saitoh, K. K. Singh, S. Sandall, C. A. Powell, T. Fenton, C. V. Fletcher, K. Hsia, S. A. Spector, Association of CD41 T-lymphocyte counts and new thymic emigrants in HIV-infected children during successful highly active antiretroviral therapy, Journal of allergy and clinical immunology, 117 (2006), 909-915
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G. L. Mandell, J. E. Bennett, R. Dolin, Principles and Practice of Infectious Disease, Wiley Medical Publications, New York (2000)
]
Bidirectional Image Thresholding Algorithm Using Combined Edge Detection and P-tile Algorithms
Bidirectional Image Thresholding Algorithm Using Combined Edge Detection and P-tile Algorithms
en
en
The main disadvantage of traditional global thresholding techniques is that they do not have an ability to exploit information of the characteristics of target images that they threshold. In this paper, we propose a new approach based on combination of modified p-tile and edge detection algorithms to have more accurate object segmentation. Using our proposed method, it is shown that almost all of our experiments resulted to better object segmentation than using traditional methods.
255
261
Moslem
Taghizadeh
Mohammad Reza
Mahzoun
Image segmentation
Edge detection
P-tile algorithm.
Article.5.pdf
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]
Evaluating the Reliability of Communication Networks (WAN) Using Their Fuzzy Fault Tree Analysis - A Case Study
Evaluating the Reliability of Communication Networks (WAN) Using Their Fuzzy Fault Tree Analysis - A Case Study
en
en
Keeping wide area networks in a reliable mode, and evaluating their reliability is an essential task for network managers. Redundancy in components and communication links in networks is used to provide reliability. In this paper fault tree model is used to evaluate the reliability of an operational network. This analysis is a hierarchical and logical model of undesirable events of the system that is based on all possible combinations of its basic and intermediate events. Since there is often uncertainty in the estimation of failure probability of system components and communication links have been considered as a fuzzy system, and we have evaluated the system fault tree based on indefinite SNMP protocol by means of the fuzzy logic. We have described our methodology by means of a small case study and presented our results.
262
270
P.
Rafiee
G.
Latif Shabgahi
Network Reliability
Fault Tree
Fuzzy Logic
Article.6.pdf
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N. H. Roberts, W. E. Vesely, Fault Tree Handbook, U.S. Nuclear Regulatory Commission, Washington (1987)
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D. Hucaby, CCNP Switch 642-813, Cisco Press, Indianapolis (2010)
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G. J. Klir, B.Yuan , Fuzzy sets, fuzzy logic, and fuzzy systems: selected papers by Lotfi A. Zadeh, Scientific Publishing Co., River Edge (1996)
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E. Stephan, IP performance metrics (IPPM) metrics registry, France Telecom R. & D., 2005 (2005), 1-14
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J. Schoenwaelder, T. Jeffree , Simple Network Management Protocol (SNMP) over IEEE 802 Networks, International University Bremen, 2006 (2006), 1-9
##[7]
W. Lai, Bandwidth constraints models for differentiated services (DiffServ)-aware MPLS traffic engineering: performance evaluation, AT&T Labs, 2005 (2005), 1-25
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G. Almes, S. Kalidindi, M. Zekauskas, A one-way packet loss metric for IPPM, Advanced Network & Services, 1999 (1999), 1-15
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T. J. Ross , Fuzzy Logic with Engineering Applications, John Wiley & Sons, U. K. (2010)
]
Integration of Fuzzy Analytic Hierarchy Process (FAHP) with Balance Score Card (BSC) in Order to Evaluate the Performance of Information Technology in Industry
Integration of Fuzzy Analytic Hierarchy Process (FAHP) with Balance Score Card (BSC) in Order to Evaluate the Performance of Information Technology in Industry
en
en
The degree of effectiveness of information technology (IT) in industry and the way it aids organizational goals are considered as very key sensitive points in industry's communications and interactions in the worldwide scale. In fact information technology has got various functions in different sectors of industry most of which are not simply quantifiable. Usually a large quantity of the information we deal with in industrial atmospheres are ambiguous and in a way fuzzy. That's why it makes it almost impossible to utilize common ways of decision-making in this area. In this research due to integrity of decision-making approach, evaluation of information technology will be based on FAHP and BSC approaches. Ways forward for BSC to express organizational hierarchy are divided into four main sections (financial, buyer, the function's internal process, and training and rate of progress). These factors are considered as functional indicators for each section to be evaluated. The FAHP approach here is mainly advised to be used to clarify the ambiguity of the information. In conclusion this integrated methodology facilitates planning in information systems and gives some clues to create a viable system of information technology in industry. That means provision of ways forward for improvements in performance of information technology in Industries.
271
283
Hamid Reza
Feili
Nazanin
Vasheghani Farahani
Naghme
Vesaghi
Fuzzy Analytic Hierarchy Process (FAHP)
Balance Score Card (BSC)
Information Technology
Industry.
Article.7.pdf
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[1]
A. Abran, L. Buglione, A multidimensional performance model for consolidating balanced scorecards, Advance in Engreening software, 34 (2003), 339-349
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R. S. Kaplan, D. P. Norton, The balanced scorcard: measures that drive performance, Harvard Business Review, 70 (1992), 71-79
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R. S. Kaplan, D. P. Norton, The balanced scorecard to work, Harvard Business Review, 71 (1992), 134-142
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T. L. Saaty, How to make a decision: the analytic hierarchy process, Interfaces, 24 (1994), 19-43
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R. D. Banker, H. Chang, S. N. Janakiraman, C. Konstans, A balanced scor card analysis of performance metrics, Eur. Oper. Res., 154 (2004), 423-436
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K. Milis, R. Mercken, The use of the balanced scorecard for the evaluation of information and communication technology projects, International Journal of Project Management, 22 (2004), 87-97
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R. A. Stewart, S. Mohamed, Utilizing the balanced scorecard for IT/IS performance evaluation in construction, Construction Innovation, 1 (2001), 147-163
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L. C. Leung, K. C. Lam, D. Cao, Implementing the balanced scorecard using the analytic hierarchy process, Management Accounting Quarterly, 3 (2002), 1-11
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M. H. Sohn, T. You, S. L. Lee, H. Lee, Corporate strategies, environmental forces, and performance measures: a weighting decisionsupport system using the k-nearest neighbor technique, Expert Syst. Appl., 25 (2003), 279-292
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Z. Chiang, A dynamic decision approach for long-term vendor selection based on AHP and BSC, In: International Conference on Intelligent Computing, 2005 (2005), 257-265
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T. L. Saaty, The analytic hierarchy process, McGraw-Hill, New York (1980)
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C. T. Chen, Extensions of TOPSIS for group decision-making under fuzzy environment, Fuzzy Sets and Systems, 114 (2000), 1-9
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Expert Choice, Expert Choice, http://www.expertchoice.com/, 2006 (2006), -
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Sybase, PowerBuilder 10, http://www.sybase.com/products/developmentintegration/powerbuilder/, 2006 (2006), -
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]
Surveying Robot Routing Algorithms with Data Mining Approach
Surveying Robot Routing Algorithms with Data Mining Approach
en
en
Data mining knowledge in response to technological advances in various Rmynh, foot arena is built there. Data Mining face a different situation that the data size is large and we want to build a small model and not too complicated and yet the data as well as describe. Necessity to use data analysis to reduce the amount and the huge volume of information. One important and practical issues in the world of machine intelligence and is robotics robots routing. Robot router has obstacle detection and how to deal with the decision with obstacle. For routing, algorithms including probabilistic methods (filtering particulate), evolutionary algorithms such as genetic, ants social and optimization particle mass, neural methods - Fuzzy, inequality of matrix method based on gradient methods combined sensor information, etc. There are data mining methods in the years 2010-2008 as a technique for routing and a complete robot has been used and still is in progress. Overview of the methods in the paper mentioned in various articles since 2000 has so far. Although many data mining methods include, but mentioned in this article with specific literature data mining will deal with the routing problem.
284
294
Rouhollah
Maghsoudi
Somayye
Hoseini
Yaghub
Heidari
data mining
robot routing.
Article.8.pdf
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J. Shahrasbi, A. Zolghadr, Conference on , Jihad University, Iran (1388)
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M. Ali, An introduction to genetic algorithms and its applications , Zanys Publications, Iran (1387)
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L. Özbakir, A. Baykasoğlu, P. Tapkan, Bees algorithm for generalized assignment problem, Applied Mathematics and Computation, 215 (2010), 3782-3795
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M. Ghatee, A. Mohades, Motion planning in order to optimize the length and clearance applying a Hopfield neural network, Expert Syst. Appl., 36 (2009), 4688-4695
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Q. Zhang, G. E. Sobelman, T. He, Gradient-based target localization in robotic sensor networks, Pervasive and Mobile Computing, 5 (2009), 37-48
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Y. Mohamadi, M. H. Bahari, Routing with ant algorithm, , Iran (2000)
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]
Comparison of Two Methods for Solving Fuzzy Differential Equations Based on Euler Method and Zadeh's Extension
Comparison of Two Methods for Solving Fuzzy Differential Equations Based on Euler Method and Zadeh's Extension
en
en
In this paper, two important methods which apply for solving Fuzzy differential equations are compared. These methods are:
1. Zadeh extension principal
2. Standard Euler method
The methods are compared by numerical examples.Also in each case by approximating the errors,the converges of the methods will be considered.
The results are shown in tables and figures.
295
306
H.
Saberi Najafi
F.
Ramezani Sasemasi
S.
Sabouri Roudkoli
S.
Fazeli Nodehi
Fuzzy differential equations
Zadeh’s extension
Euler method.
Article.9.pdf
[
[1]
M. Ma, M. Friedman, A. Kandel, Numerical solutions of fuzzy differential equations, Fuzzy Sets and Systems, 105 (1999), 133-138
##[2]
Y. Chalco-Canoa, H. Roman-Flore, Comparation between some approaches to solve fuzzy differential equations, Fuzzy Sets and Systems, 160 (2009), 1517-1527
##[3]
M. Friedman, M. Ma, A. Kandel, Numerical solutions of fuzzy differential and integral equations, Fuzzy Sets and Systems, 106 (1999), 35-48
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M. Z. Ahmad, M. K. Hasan, A New Approach for Computing Zadeh’s Extension Principle, MATEMATIKA, 26 (2010), 71-81
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O. Solaymani Fard, A Numerical Scheme for Fuzzy Cauchy Problems, Journal of Uncertain Systems, 3 (2009), 307-314
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D. N. Georgiou, I. E. Kougias, ON CAUCHY PROBLEMS FOR FUZZY DIFFERENTIAL EQUATIONS, International Journal of Mathematics and Mathematical Sciences, 15 (2004), 799-805
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A. Khastan, F. Bahrami, K. Ivaz, SOLVING HIGHER-ORDER FUZZY DIFFERENTIAL EQUATIONS UNDER GENERALIZED DIFFERENTIABILITY, ROMAI J., 5 (2009), 85-87
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T. Allahviranloo, N. Ahmady, E. Ahmady, Two Step Method for Fuzzy Differential Equations, International Mathematical Forum, 1 (2006), 823-832
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]
Pattern Recognition by Using Intuitionistic Fuzzy Concepts
Pattern Recognition by Using Intuitionistic Fuzzy Concepts
en
en
The most important characteristic of the manager is the ability of decision making
and recognition in sensitive situations. Pattern recognition is one of the problems that
needs for the high ability of the manager to recognize that the given pattern belongs
to what class, among several available classes. In the real world, the information and
conditions of the decision making are vague and uncertain. Therefore, we must utilize
the uncertain environments. In this paper, we investigate the pattern recognition
problems under intuitionistic fuzzy environment, which is a generalization of the
fuzzy environment, and represent a new method for it. High efficiency of this method
can be extended to other problems similar to handwritten character recognition,
fingerprint recognition, human face recognition, classification of X‐ray images and
thus the manager will persuade to use of it.
307
310
Reza
Khalesi
Elnaz
Babazadeh
Pattern recognition
Intuitionistic fuzzy
Decision making.
Article.10.pdf
[
[1]
L. A. Zadeh, Fuzzy sets, Information and Control, 8 (1965), 338-353
##[2]
K. T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20 (1986), 87-96
##[3]
W. L. Hung, Using statistical viewpoint in developing correlation of intuitionistic fuzzy sets, International Journal of Uncertainty, Fuzziness and Knowledge Based Systems, 9 (2001), 509-516
##[4]
L. Dengfeng, C. Chuntian, New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions, Pattern Recognition Letters, 23 (2002), 221-225
##[5]
P. Burillo, H. Bustince, Entropy on intuitionistic fuzzy sets and on intervalvalued fuzzy sets, Fuzzy Sets and Systems, 19 (1996), 305-316
##[6]
H. B. Mitchell, On the Dengfeng‐Chuntian similarity measure and its application to pattern recognition, Pattern Recognition Letters, 24 (2003), 3101-3104
##[7]
T. Gerstenkorn, J. Mańko, Correlation of intuitionistic fuzzy sets, Fuzzy Sets and Systems, 44 (1991), 39-43
]
Vendor Performance Measurement Using Fuzzy Logic Controller
Vendor Performance Measurement Using Fuzzy Logic Controller
en
en
The era of globalization has begun and organizations endeavor to increase their market share in the competitive environment. To achieve the mentioned goal, organizations should increase their effectiveness as a major strategy in order to improve their performance. Performance measurement as a managerial key can be used for monitoring activities in organizations. Vendors’ selection is one of the issues which influence the efficiency of organizations. Therefore, performance measurement of vendors plays a vital role in firms. Many conceptual and analytical models have been developed for addressing vendor selection problems. Hence, a suitable approach is needed to consider all the factors in order to select the most efficient vendor. In this paper, fuzzy logic controller as a robust and easy understanding approach is applied to transform the quantitative variable to linguistic terms in order to measure the vendors’ performance. Four criteria which can influence vendors’ performance are considered. The criteria are service quality, price, lateness deliveries and rate of rejected parts.
311
318
Hadi
Shirouyehzad
Hamidreza
Panjehfouladgaran
Reza
Dabestani
Mostafa
Badakhshian
Vendor Selection
Performance Measurement
Fuzzy Logic Controller (FLC).
Article.11.pdf
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[1]
M. Hugos, Essentials of Supply Chain Management, John Wiley & Sons, New Jersey (2003)
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S. Chopra, P. Meindl, Supply chain management: strategy, planning and operations, Prentice Hall, Upper Saddle Rive (2001)
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M. Kumar, P. Vrat, R. Shankar, A fuzzy goal programming approach for vendor selection problem in a supply chain, Computers and Industrial Engineering, 46 (2004), 69-85
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H. C. W. Lau, W. Kai Pang, C. W. Wong, Methodology for monitoring supply chain performance: a fuzzy logic approach, Logistics Information Management, 15 (2002), 271-280
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F. T. S. Chan, H. J. Qi, An innovative performance measurement method for supply chain management, Supply Chain Management: An International Journal, 8 (2003), 209-223
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A. C. F. Guimarães, C. M. F. Lapa, Fuzzy Inference to risk Assessment on Nuclear Engineering Systems, Applied Soft Computing, 7 (2007), 17-28
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R. Ohdar, P. K. Ray, Performance measurement and evaluation of suppliers in supply chain: an evolutionary approach, Journal of Manufacturing Technology Management, 15 (2004), 723-734
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C. Unahabhokha, K. Platts, K. Hua Tan, Predictive performance measurement system: A fuzzy expert system approach, Benchmarking: An International Journal, 14 (2007), 77-89
]
The Study of Guilan University Students in Math Lesson (Amount of Math Skill) in Different Recognition Compasses
The Study of Guilan University Students in Math Lesson (Amount of Math Skill) in Different Recognition Compasses
en
en
Math teachers often make math exam quetions in a practical way and they don't focus on meanings and skills a lot.
While the usage of six recognition compassen can help the measurement of learning levels and skills a lot. so, this research has the aim of studying Guilan University student's skills in math lesson according to Bloom's recognition compasses. Statistical samples were 241 university students (males and females) from different branches of technical major who answered math questions from whatever they had learned before entering the university (high school and arts – and – crafts school).The Exam included 50 multiple choice questions which were designed and classified due to Benjamin Bloom's recognition compasses, the questions were given to university students to be answere in a determined time limit. Results show that:
a) Students had the best performance in science, understanding (perception) and application (somehow in low compasses), but they had the least performance in evaluation and judgement, analysis and combination (somehow in high compasses).
b) Girls had the most performance in understanding (perception) and application compasses but in other compasses, boys had better performance.
c) In none of the recognition compasses, students had a performance of more than 50%, or we can say that in none of recognition compasses, they could answer more than 50% of the qnestions.
319
328
Ahmad
Hedayat Panah
recognition compass
math skill
Guilan university student
Bloom
Article.12.pdf
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S. Allahyari, To study the high school mathematics training (2000) problems at Bijardar town, , Iran (2000)
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H. Alamolhodaei , Convergent/divergent cognitive Styles and mathematics problem solving, Journal of Science and Mathematics Education in Southeast Asia, 24 (2001), 102-117
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H. Almolhodaei, Students' Cognitive Style and Mathematical Word Problem Solving, Journal of the Korea Society of Mathematical Education Series D Research in Mathematical Education, 6 (2002), 171-182
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H. Alamalhodaei, New approach in mathematics training, Skive publishing, Iran (2001)
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A. Ekbia, H. Alamalhodaei, A study of the effectiveness of working memory and cognitive styles on mathematics per for mance of (13 year-old) schoolboys, M.A. Thesis (Tehran university of teacher training), Iran (2000)
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A. Faryar, F. Rakhsan, Learning disabilities, Mabna publishing, Iran (2000)
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M. Ghodrati, To compare cooperative learning effect with individual learning in remembering, comprehension, analyzing and judgment scientific information rate of empirical science student garde 5, Qhom, A. M. thesis, Iran (2000)
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]
Representing the New Model for Improving K-means Clustering Algorithm Based on Genetic Algorithm
Representing the New Model for Improving K-means Clustering Algorithm Based on Genetic Algorithm
en
en
Data clustering into appropriate classes and categories is one of the important topic in
pattern recognition. It is very good and very efficient that the number of data which
misclassified is minimized or in other words data that classified in each class has been
possible as much possible similarity together. In this article at the first, a fundamental
method of data clustering which named K-Means Clustering was expressed and then
with genetic algorithm , our proposal model that we named it GA-Clustering for
improving K-Means method has been introduced. Finally, the said model was
examined on some of the well-known data set. Results show that our method clusters
data better than traditional K-Means Clustering algorithm significantly.
329
336
Rouhollah
Maghsoudi
Arash
Ghorbannia Delavar
Somayye
Hoseyny
Rahmatollah
Asgari
Yaghub
Heidari
Pattern Recognition
Clustering
K-Means
Genetic Algorithm.
Article.13.pdf
[
[1]
R. O. Duda, P. E. Hart, D. G. Stork, Pattern classification (second ed.), John Wiley & Sons, New York (2000)
##[2]
M. Mitchell, An Introduction to Genetic Algorithms, M.I.T. Press, Cambridge (1996)
##[3]
S.-C. Hu, Genetic algorithm-based clustering technique, Ujjwal Maulik, Sanghamitra Bandyopadhyay (2004)
##[4]
J. Zhang, H. S. H. Chung, W. L. Lo , Clustering-based Adaptive Crossover And Mutation Probabilities for Genetic Algorithms, IEEE Transactions on Evolutionary Computation, 11 (2007), 326-335
##[5]
L. Jiao, J. Liu, W. Zhong, An Organizational Coevolutionary Algorithm for Classification, IEEE Transactions on Evolutionary Computation, 10 (2006), 67-80
]
Fuzzy Model Identification for Intelligent Control of a Vehicle Speed Limit
Fuzzy Model Identification for Intelligent Control of a Vehicle Speed Limit
en
en
The need to increase road safety is a major concern, with millions of road users and pedestrians being killed in traffic accidents each year. Static speed limit signs are conventionally used to assist motorists in safe selection of speeds. Although appropriate to use under near ideal conditions, such signs fail to provide accurate information on speed selection when traffic and environmental conditions are less than ideal. To develop a variable speed limit system that utilizes fuzzy control technology to identify speed limits appropriate for differing environmental conditions the problem of structure identification of a fuzzy model was studied. This paper presents a fuzzy rule-base combined controller, which is a fuzzy rule-based combination of linear controllers, for nonlinear systems subject to parameter uncertainties.The paper discusses potential benefits and limitations associated with the model. The main interest has been on building fuzzy relationship models that are expressed by set of fuzzy linguistic propositions derived from the experience of the specialists. The proposed model was tested on a set of experimental data and against specialist knowledge the comparison was satisfactory regarding the aims of the model. This system dynamically updates posted speed limits to better reflect prevailing traffic and environmental conditions.
337
347
Jafar
Pouramini
Ahmad
Saeedi
Variable Speed Limit (VSL)
Intelligent Transport Systems (ITS)
Traffic Control Devices
Fuzzy Logic
Article.14.pdf
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[1]
V. P. Sisiopiku, Variable Speed Control: Technologies and Practice, Proceedings of the 11th Annual Meeting of ITS America, 2001 (2001), 1-11
##[2]
S. S. Yadlapati, Development and testing of variable speed limit control logics for works zones using simulation, Center for Transportation Studies (University of Virginia), 2004 (2004), -
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##[5]
Z. Wang, C. M. Walton, An Investigation on the Environmental Benefits of a Variable Speed Control Strategy, Transportation Center for Transportation Research (University of Texas at Austin), 2006 (2006), 1-58
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##[9]
X. Yang, M. Moallem, R. V. Patel, Alayerd goal-oriented fuzzy motion planning strategy for mobile robot navigation, IEEE Trans. Syst. Man Cybern. B Cybern., 35 (2005), 1214-1224
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]
An Study Some of the Factors Affecting on Relationship Quality Employee -Customer in the Hotel Industry by Fuzzy Logic
An Study Some of the Factors Affecting on Relationship Quality Employee -Customer in the Hotel Industry by Fuzzy Logic
en
en
Considering the developments and increasing competition in the world marketing progress from those who can strong relationship with customers and quality to establish this relationship focus on the needs of customers Expectations skills to deal their staff satisfaction, confidence in the loyalty make customers are. The aim of the paper test a model of the some factors affecting the relationship quality employee – customer by Fuzzy logic.
348
358
Seyed Alireza
Mousavi
Maryam
Ashraf
Parisa
Rajaey
Nahid Moones
Toosi
Relationship marketing
relationship quality
Competitive strategy
Fuzzy logic
Article.15.pdf
[
[1]
B. W. Becker, Marketing Service – Competing Through Quality, The Free Press, New York (1991)
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L. L. Berry, Relationship marketing, in: Emerging Perspectives on Services Marketing, 1983 (1983), 25-28
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T. J. Brown, J. C. Mowen, D. T. Donavan, J. W. Licata, The customer orientation of service workers: personality trait effects on self- and supervisor performance ratings, Journal of Marketing Research, 34 (2002), 110-119
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M. Dağdeviren, S. Yavuz, N. Kılınç, Weapon selection using the AHP and TOPSIS methods under fuzzy environment, Expert Syst. Appl., 36 (2009), 8143-8151
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##[10]
S. D. Jap, C. Manolis, B. A. Weitz, Relationship quality and buyer–seller interactions in channels of distribution, Journal of Business Research, 46 (1999), 303-313
##[11]
T. Devi Juwaheer, D. Lee Ross, A study of hotel guest perceptions in Mauritius, International Journal of Contemporary Hospitality Management, 15 (2003), 105-115
##[12]
W. G. Kim, Y. Cha, Antecedents and consequences of relationship quality in hotel industry, International Journal of Hospitality Management, 21 (2002), 321-338
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C. Kahraman, E. Tolga, Z. Ulukan, Justification of manufacturing technologies using fuzzy benefit/cost ratio analysis, Int. J. Prod. Econ., 66 (2000), 45-52
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Y. K. Lee, K. H. Park, D. H. Park, K. A. Lee, Y. J. Kwon, The relative impact of service quality on service value, customer satisfaction and customer loyalty in Korean family restaurant context, International Journal of Hospitality and Tourism Administration, 6 (2005), 27-50
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H. T. Lin, Fuzzy application in servis quality analysis: An empirical study, Expert Syst. Appl., 37 (2010), 517-526
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]
Feasibility Study of initiation of Electronic Commerce in Mazandaran Export Agencies by Using of AHP-fuzzy Technique
Feasibility Study of initiation of Electronic Commerce in Mazandaran Export Agencies by Using of AHP-fuzzy Technique
en
en
The entrance of information and communication technology caused the evolution that named electronic commerce which is changing commerce methods, purchase and even our meditation. Even corporation that wants be successful in future, tries to execute a suitable strategy in electronic business. In this article, we try to being familiar with electronic commerce and necessary foundation for executing electronic commerce, and then we investigate feasibility of e-commerce in Mazandaran Export Agencies under influencing these foundations and these effective factors will be ranked by using of fuzzy analysis hierarchy process technique. The results of this research show that technical foundation and organization foundation ranks are the same and they are first and then circumferential, commercial and financial foundations have the rank of second to forth and in properties ranking, with arrangement; the use of government support for information and e-commerce security, suitable organizational structure for directing the system, suitable planning for executing the e-commerce system, management support for executing the e-commerce system, skillful personnel, online transportation system and online discussing and requesting insurance; are the most important factors for executing the e-commerce system and they have gotten the most weigh in ranking.
359
375
A.
Sorayaei
S. M.
Sajjadi Amiri
S. A.
Sajjadi Amiri
Feasibility
electronic commerce
Export Agencies
fuzzy analysis hierarchy process technique (AHP-FUZZY).
Article.16.pdf
[
[1]
A. Ebrahimi, O. Mahdieh, Electronic Commerce, Homay e Danesh Publication, Tehran (1385)
##[2]
M. J. Asgharpoor, Multi criteria Decision Making, Tehran University Publication, Tehran (1383)
##[3]
M. Alvani, Decision Making and Determining the government goal, SAMT Publication, Tehran (1379)
##[4]
B. Behkamal, M. R. Razazi, Developing the UNCTAD model for determining the key factors of success of electronic commerce of an Institution, Papers of electronic commerce conference (Tehran University), Tehran (1384)
##[5]
M. Tekye, S. Mahmoodzadeh, M. Pariazar, F. Atbaee, Investigation of comparison of readiness of electronic commerce Using in organizations by using of AHP technique, in: 2nd International conference of electronic commerce and Global commerce (Tehran), 1386 (1386), -
##[6]
A. Sorayaei, R. Mehdizadeh, Investigation the preventing factors of electronic commerce exchanging on commercial Institution works in Mazandaran Province, Commercial Organization of Mazandaran Province research project, Iran (1385)
##[7]
M. Khajoee, The Study of electronic commerce feasibility in Iran: foundations Methodology, in: 2nd conference of electronic commerce, Assistant of Planning and Economic Research of Commercial Ministry, 1383 (1383), -
##[8]
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Exact Travelling Solutions for the Sixth-order Boussinesq Equation
Exact Travelling Solutions for the Sixth-order Boussinesq Equation
en
en
In this paper, we establish some distinct exact solutions for a nonlinear evolution equation. The sin-cosine method and the rational Exp-Function and the rational hyperbolic function method are used to construct the solitary travelling wave solutions of the sixth-order Boussinesq equation . These solutions may be important of significance for the explanation of some practical physical problem.
376
387
M.
Hosseini
H.
Abdollahzadeh
M.
Abdollahzadeh
Traveling wave solutions
sin-cosine method
Exponential rational function method
the rational hyperbolic functions methods
the sixth-order Boussinesq equation
Article.17.pdf
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Variational Iteration Method a Tools for Solving Partial Differential Equations
Variational Iteration Method a Tools for Solving Partial Differential Equations
en
en
In this paper, He's variational iteration method (VIM) has been used to obtain solution nonlinear gas dynamics equation and Stefan equation. This method is based on Lagrange multipliers for identification of optimal values of parameters in a functional. Using this method creates a sequence which tends to the exact solution of the problem.
388
393
Elham
Salehpoor
Hossein
Jafari
Variational iteration method
nonlinear gas dynamics equation
Stefan equation
Partial differential equation.
Article.18.pdf
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]
Fuzzy Approach to Likert Spectrum in Classified Levels in Surveying Researches
Fuzzy Approach to Likert Spectrum in Classified Levels in Surveying Researches
en
en
Educattion researches in surveying researches of qualifying type are generally exposed to Nominal or Ordinal classified levels. In ordinal level in opinion polling papers, most researchers deal with choices such as very good (very much), good (much), OK (to some extent), poor (little), very poor (very little) and so on. Researchers are forced to analyze the data in order to correspond them to quantity. For this action, the 5-level Likert spectrum (American Sociologist) is used and correspond them to 1, 2, 3, 4, 5 with equal distances of same value, so it used non-parameter tests because of non-parameter data. Since the respondents’ view was considered as a kind of show-off, it's obvious that, first, that is a difference between beliefs and views which lead to difficulty in analysis. Second, these is a kind of ambiguity and overlapping in the vicinity of the border of choices that can lead to error in deviation, variance, and test use. This problem also increases the analysis problem and reduces the precision. In this paper, the purpose of writer is to have a fuzzy approach to Likert spectrum and use the fuzzy model for research analysis.
394
401
Ahmad
Hedayatpanah
Fuzzy
Likert
Scales
Spectrum
Surveying research
Opinion polling
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]
Commuting Graphs on Dihedral Group
Commuting Graphs on Dihedral Group
en
en
Let \(\Gamma\) be a non-abelian group and \(\Omega\subseteq \Gamma\). The commuting graph \(C(\Gamma, \Omega)\), has \(\Omega\)
as its vertex set with two distinct elements of \(\Omega\) joined by an edge when they
commute in \(\Gamma\). In this paper we discuss certain properties of commuting graphs
constructured on the dihedral group \(D_{2n}\) with respect to some specific subsets.
More specifically we obtain the chromatic number and clique number of these
commuting graphs.
402
406
T.
Tamizh Chelvama
K.
Selvakumar
S.
Raja
Commuting graph
dihedral group
clique number
chromatic number
split graph
Article.20.pdf
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