Methods for ordering fuzzy numbers play an important role as decision criteria, with applications in areas such as optimization and data mining, among others. Although there are several proposals for ordering methods in the fuzzy literature, many of them are difficult to apply and present some problems with ranking computation. For that reason, this work proposes an ordering method for fuzzy numbers based on a simple application of a polynomial function. We study some properties of our new method, comparing our results with those generated by other methods previously discussed in literature
From the more than two hundred partial orders for fuzzy numbers proposed in the literature, only a f...
AbstractA method of rank-ordering objects using a fuzzy algorithm is described. Each object can be r...
SIGLECNRS 17874 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc
Methods for ordering fuzzy numbers play an important role as decision criteria, with applications in...
Although so far, many methods for ranking fuzzy numbers have been discussed broadly, most of them co...
Many ranking methods have been proposed so far. However, there is yet no method that can always give...
Abstract:- In this paper first we review two ranking methods for intuitionistic fuzzy numbers (IF nu...
We propose a new method for ordering bipolar fuzzy numbers. In this method, for comparison of bipola...
[[abstract]]Ranking of fuzzy numbers play an important role in decision making, optimization, foreca...
In most of the commonly used approaches, the ranking of generalized fuzzy num-bers is calculated bas...
Ranking fuzzy numbers in decision-making, data analysis and application of fuzzy systems is importan...
The problem of ordering fuzzy numbers has been studied by many authors who have followed quite diffe...
In the process of fuzzy decision-making, ranking of fuzzy numbers is a necessity. The types of fuzzy...
An order relation, which satisfies the axioms of a partial ordering, is defined on the set of genera...
An order relation, which satisfies the axioms of a partial ordering, is defined on the set of genera...
From the more than two hundred partial orders for fuzzy numbers proposed in the literature, only a f...
AbstractA method of rank-ordering objects using a fuzzy algorithm is described. Each object can be r...
SIGLECNRS 17874 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc
Methods for ordering fuzzy numbers play an important role as decision criteria, with applications in...
Although so far, many methods for ranking fuzzy numbers have been discussed broadly, most of them co...
Many ranking methods have been proposed so far. However, there is yet no method that can always give...
Abstract:- In this paper first we review two ranking methods for intuitionistic fuzzy numbers (IF nu...
We propose a new method for ordering bipolar fuzzy numbers. In this method, for comparison of bipola...
[[abstract]]Ranking of fuzzy numbers play an important role in decision making, optimization, foreca...
In most of the commonly used approaches, the ranking of generalized fuzzy num-bers is calculated bas...
Ranking fuzzy numbers in decision-making, data analysis and application of fuzzy systems is importan...
The problem of ordering fuzzy numbers has been studied by many authors who have followed quite diffe...
In the process of fuzzy decision-making, ranking of fuzzy numbers is a necessity. The types of fuzzy...
An order relation, which satisfies the axioms of a partial ordering, is defined on the set of genera...
An order relation, which satisfies the axioms of a partial ordering, is defined on the set of genera...
From the more than two hundred partial orders for fuzzy numbers proposed in the literature, only a f...
AbstractA method of rank-ordering objects using a fuzzy algorithm is described. Each object can be r...
SIGLECNRS 17874 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc