Abstract
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Article Information:
On the Nearest Weighted Point Theorem for Ranking Fuzzy Numbers
R. Saneifard, H. Fooladi and G. Pakgalb
Corresponding Author: R. Saneifard
Submitted: September 10, 2012
Accepted: October 19, 2012
Published: May 15, 2013 |
Abstract:
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In this study the author discusses the problem of defuzzification by minimizing the weighted distance between two fuzzy quantities. Also, this study obtains the nearest point with respect to a fuzzy number and shows that this point is unique relative to the weighted distance. By utilizing this point, a method is presented for effectively ranking fuzzy numbers and their images to overcome the deficiencies of the previous techniques. Finally, several numerical examples following the procedure indicate the ranking results to be valid.
Key words: Defuzzification, fuzzy number, ranking, weighted distance, weighted point, ,
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Cite this Reference:
R. Saneifard, H. Fooladi and G. Pakgalb, . On the Nearest Weighted Point Theorem for Ranking Fuzzy Numbers. Research Journal of Applied Sciences, Engineering and Technology, (20): 4835-4839.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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