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Abstract
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Article Information:
Extension VIKOR for Priority Orders Based on Three Parameters Interval Fuzzy Number
Qian Zhang, Guiming Chen, Ning Yan and Baozhong Su
Corresponding Author: Qian Zhang
Submitted: September 30, 2012
Accepted: December 11, 2012
Published: May 15, 2013 |
Abstract:
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In this study, an improved VIKOR method was presented to deal with multi-attribute decision-making based on three parameters interval fuzzy number. The attribute weights were unknown but alternative priority of object preference was given. A new non-linear rewards and punishment method in positive interval was proposed to make the attributes normal, information covered reliability and relative superiority degree two methods were used to compare and sort the Three Parameters Interval Fuzzy Number (TPIFN) and a quadratic programming based on contribution was constructed to get attribute weights, then defined the information entropy distance between TPIFN and the optimum object orders was obtained by VIKOR. The numerical example was provided to demonstrate the feasibility and validity.
Key words: Multiple attribute decision making, priority orders of preference, rewarding and punishing strategy, three parameters interval fuzzy number, VIKOR, ,
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Cite this Reference:
Qian Zhang, Guiming Chen, Ning Yan and Baozhong Su, . Extension VIKOR for Priority Orders Based on Three Parameters Interval Fuzzy Number. Research Journal of Applied Sciences, Engineering and Technology, (20): 4931-4935.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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