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  Ranking Index for L-R Fuzzy numbers
     
    2nd International Conference on Software Engineering, Management & Application
    © 2011 by OLS Journal - ISSN No : 2091- 0266
    Number 1 Article 1
    Year of Publication : 2011
    Authors : Tayebeh Hajjari
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  Citation Tayebeh Hajjari - Ranking Index for L-R Fuzzy numbers : OLS Journals Special Isssue on Software Engineering, Management & Application 1-2 , 2011 , Published by : OLS Journals , The society Association of Scientists, Developers and Faculties (ASDF)
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  Abstract  
 

Ranking of fuzzy numbers plays an important role in decision-making and some other fuzzy application systems such as optimization and forecasting. Since fuzzy numbers represent uncertain numeric value, it is difficult to rank them according to their magnitude. Therefore, several strategies have been proposed for ranking of fuzzy numbers. Each of these techniques has been shown to produce non-intuitive results in certain case or may very
complicate to compute. In this paper, a new method for ranking fuzzy numbers is proposed. The method considers the overall possibility distributions of fuzzy numbers in their evaluations for ranking. The method evaluates fuzzy numbers with an index, which is cunsructed by fuzzy distance and centroid point. In order to illustrate the ranking method three numeric examples are shown, and for comparative study, our method is compared with some other existing ranking methods.
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  Keywords

: centroid points; decision-making; fuzzy distance; trapezoidal fuzzy numbe; ,ranking index.
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