Comparing and ranking fuzzy numbers using ideal solutions

A new parametric method for ranking fuzzy numbers based on positive and negative ideal solutions

a new parametric method for ranking fuzzy numbers based on positive and negative ideal solutions

A new parametric method for ranking fuzzy numbers based on positive and negative ideal solutions

Ranking of fuzzy numbers play an important role in decision making, optimization, forecasting etc. Fuzzy numbers must be ranked before an action is taken by a decision maker. The main aim of this paper is to propose a new approach for the ranking of generalized fuzzy numbers. The proposed ranking approach is based on distance between positive ideal solution and negative ideal solution. The main...

On ranking fuzzy numbers using valuations

The importance and difficulty of the problem of ranking fuzzy numbers is pointed out. Here we consider approaches to the ranking of fuzzy numbers based upon the idea of associating with a fuzzy number a scalar value, its valuation, and using this valuation to compare and order fuzzy numbers. Specifically we focus on expected value type valuations which are based upon the transformation of a fuz...

On The Ranking Fuzzy Numbers Using Weighted Metric