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Multiple Attribute Decision Making Methods Based on Fuzzy Number Intuitionistic Fuzzy Numbers

Author: SuHang
Tutor: QianWeiZuo
Course: Operational Research and Cybernetics
Keywords: fuzzy number intuitionistic fuzzy numbers multiple attribute decisionmaking ideal point TOPSIS method Score function
CLC: O225
Type: Master's thesis
Year: 2012
Downloads: 125
Quote: 0
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Multiple attribute decision making plays an important role in people’s lives, which is beingapplied in more and more areas. Triangle fuzzy numbers is always employed to represent thedecision information, due to the vagueness and uncertainty of the objective things. Thisdissertation aimed to study on the fuzzy number intuitionistic fuzzy numbers of multi-attributeMD. The detailed arrangement stands out as follows:In this dissertation, we investigate a multiple attribute decision making problem, whoseattribute values are fuzzy number intuitionstic fuzzy numbers. Then a TOPSIS method formultiple attribute decision making with fuzzy number intuitionisric fuzzy information isdeveloped. The formula for measuring the distance between fuzzy number intuitionistic fuzzynumbers is defined, and the relative similarity degree to ideal point is given. It will get apriority of the problem. Finally, it will get a priority of the problem. Methods for aggregatingfuzzy number intuitionistic fuzzy information are investigated, and the fuzzy integratedoperator has been extended to Fuzzy number intuitionstic fuzzy sets.Additionally, a novel score function for multiple attribute decision making with fuzzynumber intuitionisric fuzzy information has been developed. The score function of fuzzynumber intuitionistic fuzzy numbers are defined. In the end, an example shows the feasibility ofthis approach.

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CLC: > Mathematical sciences and chemical > Mathematics > Operations Research > Game theory ( game theory )
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