Reza Khalesi - Islamic Azad University of Torbatjam, Iran Hamidreza Maleki - Shiraz university of technology, Iran
Solving multi-criteria fuzzy decision making problems is one of the most important objects that scolars deal with. In situations that the information about criteria weights for alternatives is completely unknown, choosing the best alternative is more difficult. In this paper, by using of intuitionistic fuzzy sets(IFSs), we combine the concepts of entropy, correlation coefficient of two IFSs and ideal solution to determine the criteria weights and then evaluate the weighted correlation coefficient between an alternative and the ideal solution. According to this value, the alternatives can be ranked. Practicality and effectiveness of this technique, in comparison with other similar methods, persuade the decision makers to use of it.
Reza Khalesi, Hamidreza Maleki, A New Method for Solving Fuzzy Mcdm Problems, Journal of Mathematics and Computer Science, 1 (2010), no. 4, 435--438
Khalesi Reza, Maleki Hamidreza, A New Method for Solving Fuzzy Mcdm Problems. J Math Comput SCI-JM. (2010); 1(4):435--438
Khalesi, Reza, Maleki, Hamidreza. "A New Method for Solving Fuzzy Mcdm Problems." Journal of Mathematics and Computer Science, 1, no. 4 (2010): 435--438
