نتایج جستجو برای: fuzzy numbers fns

تعداد نتایج: 282891  

Journal: :Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 2012

Journal: :Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 2012

Journal: :Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 2012

T. Beaula, V. Vijaya,

In this study a new approach to rank exponential fuzzy numbers using  -cuts is established. The metric distance of the interval numbers is extended to exponential fuzzy numbers. By using the ranking of exponential fuzzy numbers and using  -cuts the critical path of a project network is solved and illustrated by numerical examples. Keywords: Exponential Fuzzy Numbers,  -cuts, Metric Dista...

Journal: :Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 2013

Journal: :Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 2013

Journal: :Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 2012

Ranking fuzzy numbers plays a very important role in decision making and some other fuzzy application systems. Many different methods have been proposed to deal with ranking fuzzy numbers. Constructing ranking indexes based on the centroid of fuzzy numbers is an important case. But some weaknesses are found in these indexes. The purpose of this paper is to give a new ranking index to rank vario...

Abolfazl Saiedifar

Recently Abbasbandy and Hajjari (Computers and Mathematics with Applications57 (2009) 413-419) have introduced a ranking method for the trapezoidalfuzzy numbers. This paper extends theirs method to all fuzzy numbers,which uses from a defuzzication of fuzzy numbers and a general weightingfunction. Extended method is interesting for ranking all fuzzy numbers, and itcan be applied for solving and ...

Journal: :international journal of industrial mathematics 0
rasoul saneifard department of engineering technology‎, ‎texas southern university‎, ‎houston‎, ‎texas‎, ‎usa. rahim saneifard department of applied mathematics‎, ‎urmia branch‎, ‎islamic azad university‎, ‎urmia‎, ‎iran.

‎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...

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