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Abstract
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Article Information:
Evaluation of Routing Flexibility of a Flexible Decision Making Units Using Hybrid Intelligent Algorithm: Modeling and Applications
A. Tajali and R. Saneifard
Corresponding Author: R. Saneifard
Submitted: April 29, 2014
Accepted: May 25, 2014
Published: July 20, 2014 |
Abstract:
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For the same of two fuzzy sets with different supports, this study investigates the entropy relationship between both of them. For the fuzzy numbers with triangular membership function, the entropy change between the resultant fuzzy numbers through some arithmetic operations and the original fuzzy numbers is studied. Since, the entropy can be used as a crisp approximation of a fuzzy number, therefore the resultant value is used to rank the fuzzy numbers. The main advantage of the proposed approach is that the proposed ranking method provides the correct ordering of fuzzy numbers and also the proposed approach is very simple and easy to apply in the real life problems.
Key words: Defuzzification, efficient, fuzzy numbers, ranking, , ,
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Abstract
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Cite this Reference:
A. Tajali and R. Saneifard, . Evaluation of Routing Flexibility of a Flexible Decision Making Units Using Hybrid Intelligent Algorithm: Modeling and Applications. Research Journal of Environmental and Earth Sciences, (7): 385-388.
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ISSN (Online): 2041-0492
ISSN (Print): 2041-0484 |
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