Open AccessSolving Fuzzy Games Problems by Using Ranking Functions
Author(s) -
Baghdad Science Journal
Publication year - 2018
Publication title -
mağallaẗ baġdād li-l-ʿulūm
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.167
H-Index - 6
eISSN - 2411-7986
pISSN - 2078-8665
DOI - 10.21123/bsj.15.1.98-101
Subject(s) - ranking (information retrieval) , fuzzy number , fuzzy logic , mathematics , decision maker , mathematical optimization , fuzzy set operations , function (biology) , computer science , data mining , artificial intelligence , fuzzy set , operations research , evolutionary biology , biology
In this paper, we deal with games of fuzzy payoffs problem while there is uncertainty in data. We use the trapezoidal membership function to transform the data into fuzzy numbers and utilize the three different ranking function algorithms. Then we compare between these three ranking algorithms by using trapezoidal fuzzy numbers for the decision maker to get the best gains