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Expected value method for fuzzy multiple attribute decision making

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1 Author(s)
Zeng, Ling ; Department of Computational Sciences and Mathematics, Guilin University of Electronic Technology, Guilin 541004, China

This paper presents a fuzzy multiple attribute decision-making (FMADM) method in which the attribute weights and decision matrix elements (attribute values) are fuzzy variables. Fuzzy arithmetic and the expected value operator of fuzzy variables are used to develop the expected value method to solve the FMADM problem. A numerical example is given to demonstrate the feasibility and effectiveness of the method.

Published in:

Tsinghua Science and Technology  (Volume:11 ,  Issue: 1 )