AbstractThe average value was introduced to help in the ordering of fuzzy numbers and was defined by means of an integrating process of a parametric function representing the position of every α-cut in the real line. Some well-known indices are included in this schema. We study some properties of the average value, and by interpreting the different parameters used to define it, we show that it can be adapted to the decision-maker's preference. Finally, distance measures between fuzzy numbers associated with the average value are defined
Abstract In a lot of scientific models in the real world, we confront with comparing fuzzy numbers a...
AbstractMany fuzzy number ranking approaches are developed in the literature for multiattribute deci...
AbstractTo improve the ranking method of Lee and Li [1], Cheng [2] proposed the coefficient of varia...
AbstractThe average value was introduced to help in the ordering of fuzzy numbers and was defined by...
AbstractThis paper proposes a new ranking method for fuzzy numbers, which uses a defuzzification of ...
[[abstract]]Ranking of fuzzy numbers play an important role in decision making, optimization, foreca...
[[abstract]]Ranking fuzzy numbers is important in decision making. Since very often the alternatives...
Abstract. In this paper, we propose a new approach for ranking all fuzzy numbers based on revising t...
Ranking fuzzy numbers plays a very important role in linguistic decision making and other fuzzy appl...
Ranking fuzzy numbers are an important aspect of decision making in a fuzzy environment. Since thei...
In this paper we present a multi-indices based method that can be used to compare and rank fuzzy num...
I present a new method for ranking fuzzy numbers based on a general measure induced by a function
Based on the area between the curve of the membership function of a fuzzy number and the horizontal ...
AbstractThis paper proposes a new ranking method for fuzzy numbers, which uses a defuzzification of ...
I present a new method for ranking fuzzy numbers based on a general measure induced by a function
Abstract In a lot of scientific models in the real world, we confront with comparing fuzzy numbers a...
AbstractMany fuzzy number ranking approaches are developed in the literature for multiattribute deci...
AbstractTo improve the ranking method of Lee and Li [1], Cheng [2] proposed the coefficient of varia...
AbstractThe average value was introduced to help in the ordering of fuzzy numbers and was defined by...
AbstractThis paper proposes a new ranking method for fuzzy numbers, which uses a defuzzification of ...
[[abstract]]Ranking of fuzzy numbers play an important role in decision making, optimization, foreca...
[[abstract]]Ranking fuzzy numbers is important in decision making. Since very often the alternatives...
Abstract. In this paper, we propose a new approach for ranking all fuzzy numbers based on revising t...
Ranking fuzzy numbers plays a very important role in linguistic decision making and other fuzzy appl...
Ranking fuzzy numbers are an important aspect of decision making in a fuzzy environment. Since thei...
In this paper we present a multi-indices based method that can be used to compare and rank fuzzy num...
I present a new method for ranking fuzzy numbers based on a general measure induced by a function
Based on the area between the curve of the membership function of a fuzzy number and the horizontal ...
AbstractThis paper proposes a new ranking method for fuzzy numbers, which uses a defuzzification of ...
I present a new method for ranking fuzzy numbers based on a general measure induced by a function
Abstract In a lot of scientific models in the real world, we confront with comparing fuzzy numbers a...
AbstractMany fuzzy number ranking approaches are developed in the literature for multiattribute deci...
AbstractTo improve the ranking method of Lee and Li [1], Cheng [2] proposed the coefficient of varia...