نتایج جستجو برای: rankingof fuzzy numbers

تعداد نتایج: 282495  

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 ...

In this paper, a novel approach for ranking fuzzy numbers based on the angle measure is introduced. Several left and right spreads at each chosen levels of fuzzy numbers is used to determine center of mass points(CMPs) and then, the angels between the CMPs and the horizontal axis is calculated. The total angle is determined by averaging the computed angles and finally, the novel method is compa...

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...

Journal: :iranian journal of health sciences 0
garshasb rigi department of biology, faculty of science, behbahan khatam alanbia university of technology, behbahan, iran tahereh bahrami department of statistics, faculty of science, behbahan khatam alanbia university of technology, behbahan, iran raham armand department of biology, faculty of science, behbahan khatam alanbia university of technology, behbahan, iran zahra piruzeh department of statistics, faculty of science, behbahan khatam alanbia university of technology, behbahan, iran

abstract background and purpose: since protein a is considered an important protein from medical, medicinal, genetic engineering, and biotechnology point of view, the present study attempted to investigate and determine to what extent protein a is produced through regression, in addition to the production conditions of the protein. thus, a figure was introduced as for the estimation of the amou...

S. Mizuno S.H. Nasseri,

Ranking fuzzy numbers plays a very important role in linguistic decision making and other fuzzy application systems. In spite of many ranking methods, no one can rank fuzzy numbers with human intuition consistently in all cases. Shortcoming are found in some of the convenient methods for ranking triangular fuzzy numbers such as the coefficient of variation (CV index), distance between fuzzy set...

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