Analyzing the ranking method for L-R fuzzy numbers based on deviation degree

یک مدل ترکیبی برای رتبه بندی اعداد فازی غیرنرمال

  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...

A revision on area ranking and deviation degree methods of ranking fuzzy numbers

Recently two important methods [ \Area ranking of fuzzy numbers based on positive and negative ideal points", Computers and Mathematics with Applications, pp. 1769-1779 (2009)] have been proposed for ranking fuzzy numbers. But we have found that they both have a same basic disadvantage. In this paper, after a short review on diierent proposed fuzzy number ranking methods, we explain the drawbac...

Ranking L-R Fuzzy Numbers with Weighted Averaging Based on Levels

Fuzzy Risk Analysis Based on Ranking of Fuzzy Numbers Via New Magnitude Method

Ranking fuzzy numbers plays a main role in many applied models inreal world and in particular decision-making procedures. In manyproposed methods by other researchers may exist some shortcoming.The most commonly used approaches for ranking fuzzy numbers isbased on defuzzification method. Many ranking fuzzy numberscannot discriminate between two symmetric fuzzy numbers withidentical core. In 200...

Another Method for Defuzzification Based on Regular Weighted ‎Point‎

‎A new method for the defuzzification of fuzzy numbers is developed in this paper. It is well-known, defuzzification methods allow us to find aggregative crisp numbers or crisp set for fuzzy numbers. But different fuzzy numbers are often converted into one crisp number. In this case the loss of essential information is possible. It may result in inadequate final conclusions, for example, expert...