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2013
7
2
73
On Fuzzy Isomorphisms Theorems of Gamma-hypernear-rings
On Fuzzy Isomorphisms Theorems of Gamma-hypernear-rings
en
en
In this paper, first derived three isomorphism theorems of \(\Gamma\)-hypernear-rings. Also, by fuzzy
\(\Gamma\)-hyperideals, We consider three fuzzy isomorphism theorems of \(\Gamma\)- hypernear-rings.
80
88
E.
Hendukolaie
M. Aliakbarnia.
Omran
Y.
Nasabi
\(\Gamma\)-Hypernear-rings
(fuzzy) isomorphism theorem
\(\Gamma\)-hyperideals
fuzzy \(\Gamma\) -hyperideals.
Article.1.pdf
[
[1]
R. Ameri, E. Hendoukolaii, Fuzzy Hypernear-rings, Ital. J. Pure Appl. Math., ( to appear)
##[2]
R. Ameri, H. Hedayati, A. Molaee, On fuzzy hyperideals of \(\Gamma\)-hyperrings, Iran J. Fuzzy Systems, 6 (2009), 47-60
##[3]
W. E. Barbes, On the \(\Gamma\)-rings of Nobusawa, Pacific J. Math. , 18 (1966), 411-422
##[4]
P. Corsini, V. Leoreanu, Applications of Hyperstructure Theory , Advances in Mathematics (Dordrecht), Kluwer Academic Publishers, Dordrecht (2003)
##[5]
I. Cristea, B. Davvaz, Atanassov's intuitionistic fuzzy grade of hypergroups, Inform. Sci. , 180 (2010), 1506-1517
##[6]
I. Cristea, S. Hoskova, Fuzzy pseudotopological hypergroupoids, Iran. J. Fuzzy Syst , 6 (2009), 11-19
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V. Dasic, Hypernear-rings, in: Proc. Fourth Int. Congress on AHA (1990), World Scientific, (1991), 1-75
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B. Davvaz, On hypernear-rings and fuzzy hyperideals, J.Fuzzy Math., 7 (1999), 745-753
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B. Davvaz, Isomorphism theorems on hyperrings, Indian J. Pure Appl. Math. , 35 (3) (2004), 321-331
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B. Davvaz, J. Zhan, K. H. Kim, Fuzzy \(\Gamma\)-hypernear-rings , Comput. Math. Appl. , 59 (2010), 2846-2853
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T. K. Dutta, T. Chanda , Structures of fuzzy ideals of \(\Gamma\)-rings , Bull. Malays. Math. Sci. Soc., 28 (1) (2005), 9-15
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E. Hendukolaii , On fuzzy homomorphisms between Hypernear-rings, tjmcs , vol.2 no.4 (2011), 702-716
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Y. B. Jun, C. Y. Lee, Fuzzy \(\Gamma\)-rings, Pusan Kyongnam Math. J. (now, East Asian Math. J.) , 8 (2) (1992), 163-170
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V. Leoreanu-Fotea, P. Corsini, Isomorphisms of hypergroups and of n-hypergroups with applications, Soft Comput. , 13 (2009), 985-994
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V. Leoreanu-Fotea, B. Davvaz, Fuzzy hyperrings , Fuzzy Sets Syst. , 160 (2009), 2366-2378
##[18]
X. Ma, J. Zhan, V. Leoreanu-Fotea, On (fuzzy) isomorphism theorems of \(\Gamma\)-hyperrings, Computers and Mathematics with Applications , 60 (2010), 2594-2600
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X. Ma, J. Zhan , Fuzzy h-ideals in h-hemiregular and h-semisimple \(\Gamma\)-hemirings, Neural Comput. Appl. , 19 (2010), 477-485
##[20]
F. Marty, Sur une generalization de la notion de groupe, in: 8th Congress Math. Scandianaves, Stockholm, (1934), 45-49
##[21]
M. K. Sen, R. Ameri, G. Chowdhury, Fuzzy hypersemigroups , Soft Comput. , 12 (2008), 891-900
##[22]
T. Vougiouklis, Hyperstructures and their Representations, Hadronic Press Inc., Palm Harbor, USA (1994)
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Y. Yin, et al. , A fuzzy view of \(\Gamma\)-hyperrings , , (submitted for publication), -
##[24]
L. A. Zadeh, Fuzzy sets, Inform. Control , 8 (1965), 338-353
##[25]
J. Zhan, B. Davvaz, K. P. Shum, Generalized fuzzy hyperideals of hyperrings , Comput. Math. Appl., 56 (2008), 1732-1740
##[26]
J. Zhan, B. Davvaz, K. P. Shum , Isomorphism theorems of hypermodules, Acta Math. Sinica (Chinese Ser.) , 50 (2007), 909-914
##[27]
J. Zhan, B. Davvaz, K. P. Shum, On fuzzy isomorphism theorems of hypermodules, Soft Comput. , 11 (2007), 1053-1057
##[28]
J. Zhan, B. Davvaz, K. P. Shum , A new view of fuzzy hypernear-rings, Inform. Sci. , 178 (2008), 425-438
]
Three-dimensional Numerical Analysis of Heat Transfer Characteristics of Solar Parabolic Collector with Two Segmental Rings
Three-dimensional Numerical Analysis of Heat Transfer Characteristics of Solar Parabolic Collector with Two Segmental Rings
en
en
In this article, the heat transfer characteristics of parabolic solar collector with two segmental rings has been investigated numerically. The effect of distance between porous two segmental rings on the heat transfer coefficient of the collector has been studied. The heat transfer fluid is Therminol 66 and the model is solved by RNG \(k-\varepsilon\) turbulent model using Computational Fluid Dynamics (CFD) package, FLUENT. This numerical simulation is implemented for different distances between two segmental rings, the results show that use of two segmental rings in tubular solar absorber enhances the heat transfer characteristics of solar parabolic collector. Also by decreasing the distance between two segmental rings,the heat transfer coefficient increases.
89
100
Seyed Ebrahim
Ghasemi
Ali Akbar
Ranjbar
Abbas
Ramiar
Solar Energy
Three-dimensional Numerical Analysis
Parabolic Trough Collector
Heat Transfer Characteristics
Two Segmental Rings.
Article.2.pdf
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]
Choose the Best Project Based on Simulation Optimization and Ant Colony Optimization Algorithm
Choose the Best Project Based on Simulation Optimization and Ant Colony Optimization Algorithm
en
en
The process of planning, scheduling and economizing of new project is getting more difficult. Considering lack of raw materials, strict standards and tough competition, taking the right decision is not a simple task any more. In the process of globalization, only companies will be successful which are able to commercialize their dream with controlling effecting factors. Financial, operational and time bonded factors which sometimes follow accidental trends. Considering the probability behavior of this factors, benefiting from simulation approach to formulate the effect of these factors are one of the main solutions. Therefore under follow article we use simulation methodology to evaluate R and D projects, affected by accidental factors. Bearing in mind with more repeat we minimize the mistakes in project and get to the optimize answer. To evaluate the projects, a financial model is being presented, including sales quantity and price to calculate the profit. Total cost is being calculated based on unit cost. To find the best answer we repeat the model more than 800 times with the help of Ant colony optimization algorithms. To elaborate on model, we have studied an operational unit and will show the sensitivity and analysis of model. Later we will see the result with the help of diagrams.
101
111
Hamid Reza
Feili
Alireza
Farsi
Niloofar
Nobahari
Simulation Optimization
Ant Colony Optimization Algorithms
R and D
Article.3.pdf
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[1]
H. Feili, A. Farsi, N. Nobahari , Simulation optimization approach to strategy development , , (2012)
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A. J. Qureshi, Jean-Yves Dantan, V. Sabri, Paul Beaucaire, Nicolas Gayton, A statistical tolerance analysis approach for over-constrained mechanism based on optimization and Monte Carlo simulation, Computer-Aided Design, 132-142 (2012)
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D. Merkle, M. Middendorf, H. Schmeck, Ant colony optimization for resource-constrained project scheduling, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2000), (2000), 893-900
]
On Fuzzy Isomorphism Theorem of Hypernear-modules
On Fuzzy Isomorphism Theorem of Hypernear-modules
en
en
In this paper,introduce the concept of normal fuzzy subhypernear-modules of hypernear-modules
and establish three isomorphism theorems of hypernear-modules by using normal fuzzy
subhypernear-modules.
112
120
M. Aliakbarnia
Omran
Y.
Nasabi
E.
Hendukolaie
Near-module
Hypernear-module
Normal fuzzy subhypernear-module
Isomorphism theorems
Article.4.pdf
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[1]
R. Ameri, On categories of hypergroups and hypermodules , J Discrete Math Sci Cryptogr, 6(2-3) (2003), 121-132
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R. Ameri, E. Hendoukolaii , Fuzzy Hypernear-rings, , (to appear)
##[3]
R. Ameri, E. Hendoukolaii, Fuzzy Hypernear-modules, , ( to appear)
##[4]
P. Corsini , Fuzzy sets, join spaces and factor spaces, PU.M.A. , 11 (3) (2000), 439-446
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P. Corsini, V. Leoreanu, Applications of Hyperstructures Theory, Advanced in Mathematics , Kluwer Academic Publishers (2003)
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P. Corcini, I. Tofan, On fuzzy hypergroups , P.U.M.A. , 8 (1997), 29-37
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B. Davvaz, Fuzzy Hv-groups, Fuzzy Sets Syst. , 101 (1999), 191-195
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B. Davvaz, Fuzzy Hv submodules, Fuzzy Sets Syst. , 117 (2001), 477-484
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E. Hendukolaie , On fuzzy homomorphisms between Hypernear-rings, The journal of mathematics and computer science, vol.2, num.4 (2011), 702-716
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E. Hendukolaie, A. A. Ghasemi, G. Ghasemi, On fuzzy isomorphisms theorems of \(\Gamma\)-Hypernear-rings, , ( to appear. ), -
##[16]
V. Leoreanu-Fotea, B. Davvaz, n-Hypergroups and binary relations, European J. Combin. , 29 (2008), 1207-1218
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V. Leoreanu-Fotea, B. Davvaz, Fuzzy hyperrings, Fuzzy Sets and Systems, 160 (2009), 2366-2378
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V. Leoreanu-Fotea, B. Davvaz, Fuzzy hypermodules, Computers and Mathematics with Applications, 57 (2009), 466-475
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V. Leoreanu-Fotea, B. Davvaz, Join n-spaces and lattices, Multiple Valued Logic Soft Comput. 15, accepted for publication , 15 (2008), 421-432
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##[28]
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]
Trend Analysis with Effective Covariates Based on Auto Regressive-moving Average Time Series Residuals
Trend Analysis with Effective Covariates Based on Auto Regressive-moving Average Time Series Residuals
en
en
Determining the pattern of a time series data is commonly established through identifying trend
analysis. There is a variety of regression approaches can be chosen to perform trend analysis.All
regression models are differentto the choose of which confounding factor are adjusted in the
model.In view of this, when one takes into account the effective covariates in the trend analysis
model,different patterns of a considered time series data setare created at each time t. This study
proposes a methodology for characterizing the long term evolution of particular matterto
identifyair quality analysis in the presence of radium, temperature and wind direction with
correlated residuals in multiple regression models. Moreover, this is interesting in case where
one performs trend analysis of the evolution of particular matters in quantity to air quality with
significant effective covariates. Specifically, the considered approach provides a frame work
based on the Gaussian correlated residuals where they follow a stationary Auto Regressive-
Moving Average (ARMA) time series model.
121
130
Manoochehr
Babanezhad
Time Series
Trend
Covariates
Particular Matter
Residuals
ARMA model.
Article.5.pdf
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]
Fuzzy Multi-objective Linear Programming Problems Sensitivity Analyses
Fuzzy Multi-objective Linear Programming Problems Sensitivity Analyses
en
en
Thanks to global competition, faster product development, and increasingly flexible manufacturing systems, an unprecedented number and variety of products are competing in markets ranging from apparel and toys to power tools and computers. The dramatic increase in demand unpredictability is fairly recent, in practice, there are many problems in which all decision parameters are fuzzy numbers, and such problems are usually solved by either probabilistic programming or multi-objective programming methods. Unfortunately all these methods have shortcomings. In this note, using the concept of comparison of fuzzy numbers, a very effective method is introduced for solving these problems. This paper extends linear programming based problem in fuzzy environment. With the problem assumptions, the optimal solution can still be theoretically solved using simplex based method. To handle the fuzzy decision variables can be initially generated and then solved and improved sequentially using the fuzzy decision approach by introducing Robust’s ranking technique. The proposed procedure was programmed and the three dimensional mesh plot diagram is represented through MATLAB (R2009a) version software. The model is illustrated with numerical example and a sensitivity analyses are of the optimal solution is studied with respect to changes in parameter which incorporates all concepts of a fuzzy arithmetic approach to draw managerial insights.
131
137
M.
Pattnaik
Multi-objective
Linear programming
Fuzzy number
Simplex method
Sensitivity analysis.
Article.6.pdf
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]
Solving Singular Bvps Ordinary Differential Equations by Modified Homotopy Perturbation Method
Solving Singular Bvps Ordinary Differential Equations by Modified Homotopy Perturbation Method
en
en
In this paper, we use modified homotopy perturbation method to solving singular boundary value problems (BVP) of higher–order ordinary differential equations. The proposed method can be applied to linear and nonlinear problems.
The results prove that the modified HPM is a powerful tool for the solution of singular BVPs.
138
143
Mostafa
Mahmoudi
Mohammad V.
Kazemi
Singular boundary value problems
homotopy perturbation method
ordinary differential equations.
Article.7.pdf
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Stabilization of Dynamic Systems by Localization of Eigenvalues in a Specified Interval
Stabilization of Dynamic Systems by Localization of Eigenvalues in a Specified Interval
en
en
This paper is concerned with the problem of designing linear time-invariant control systems with closed-loop eigenvalues in a prescribed region of stability. First, we obtain a state feedback matrix which assigns all the eigenvalues to zero, and then by elementary similarity operations we find a state feedback which assigns the eigenvalues in the interval shown in figure 1.
This new algorithm can also be used for the placement of closed-loop eigenvalues in a specified interval in z-plane and can be employed for large-scale linear time-invariant control systems. Some illustrative examples are presented to show the advantages of this new technique.
144
153
H. Ahsani
Tehrani
linear time-invariant systems
State feedback matrix
Localization of eigenvalues
interval
Large-scale systems
Article.8.pdf
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