A New Combining Model for Ranking Generalized Fuzzy numbers

Because of the suitability of fuzzy numbers in representing uncertain values, ranking the fuzzy numbers has widely applications in different sciences. Many models are presented in field of ranking the fuzzy numbers that each one rank based on special criteria and features. The purpose of this paper is presenting a new method for ranking generalized fuzzy numbers based on some parameters such as membership degree, mean, standard deviation and parametric form of membership function. This paper introduce existing ranking models, comparing them the proposed model is presented. Considering special sets of fuzzy numbers, the advantages of proposed model is expressed. The main purpose of this paper is to present a reliable ranking method for generalized fuzzy numbers.