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
AbstractTo improve the ranking method of Lee and Li [1], Cheng [2] proposed the coefficient of varia...
We present some new properties of several fuzzy order relations, defined on the set of fuzzy numbers...
AbstractThe proportion of the optimum fuzzy number ranking procedure measures the consonance of the ...
AbstractThe average value was introduced to help in the ordering of fuzzy numbers and was defined by...
AbstractMany fuzzy number ranking approaches are developed in the literature for multiattribute deci...
AbstractThis paper proposes a new ranking method for fuzzy numbers, which uses a defuzzification of ...
This paper presents a discriminative analysis of approaches to ranking fuzzy numbers in fuzzy decisi...
In this article, we use the signed distance to consider the ranking problem of interval- valued fuzz...
Ranking fuzzy numbers have become of growing importance in recent years, especially as decision-maki...
This paper primarily presents two methods of ranking aggregated fuzzy numbers from intervals using t...
In this paper, we introduce a new comparison relation on fuzzy numbers based on their alpha-cut repr...
Based on the area between the curve of the membership function of a fuzzy number and the horizontal ...
We deal with the problem of evaluating and ranking fuzzy quantitities. We call fuzzy quantity any n...
This paper deals with the problem of evaluating a fuzzy quantity. We call fuzzy quantity any non-nor...
In this paper we present a multi-indices based method that can be used to compare and rank fuzzy num...
AbstractTo improve the ranking method of Lee and Li [1], Cheng [2] proposed the coefficient of varia...
We present some new properties of several fuzzy order relations, defined on the set of fuzzy numbers...
AbstractThe proportion of the optimum fuzzy number ranking procedure measures the consonance of the ...
AbstractThe average value was introduced to help in the ordering of fuzzy numbers and was defined by...
AbstractMany fuzzy number ranking approaches are developed in the literature for multiattribute deci...
AbstractThis paper proposes a new ranking method for fuzzy numbers, which uses a defuzzification of ...
This paper presents a discriminative analysis of approaches to ranking fuzzy numbers in fuzzy decisi...
In this article, we use the signed distance to consider the ranking problem of interval- valued fuzz...
Ranking fuzzy numbers have become of growing importance in recent years, especially as decision-maki...
This paper primarily presents two methods of ranking aggregated fuzzy numbers from intervals using t...
In this paper, we introduce a new comparison relation on fuzzy numbers based on their alpha-cut repr...
Based on the area between the curve of the membership function of a fuzzy number and the horizontal ...
We deal with the problem of evaluating and ranking fuzzy quantitities. We call fuzzy quantity any n...
This paper deals with the problem of evaluating a fuzzy quantity. We call fuzzy quantity any non-nor...
In this paper we present a multi-indices based method that can be used to compare and rank fuzzy num...
AbstractTo improve the ranking method of Lee and Li [1], Cheng [2] proposed the coefficient of varia...
We present some new properties of several fuzzy order relations, defined on the set of fuzzy numbers...
AbstractThe proportion of the optimum fuzzy number ranking procedure measures the consonance of the ...