Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 38, Issue 6, Pages 6985-6993Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2010.12.016
Keywords
MCDM; Dempster-Shafer evidence theory; Fuzzy sets theory
Categories
Funding
- National Natural Science Foundation of China [60874105, 60904099]
- Program for New Century Excellent Talents in University [NCET-08-0345]
- Shanghai Rising-Star Program [09QA1402900]
- Chongqing Natural Science Foundation [CSCT, 2010BA2003]
- Aviation Science Foundation [20090557004, 20095153022]
- Shanghai Jiao Tong University [T241460612]
- Southwest University [SWU110021]
- Shanghai Municipal Education Commission [J50704]
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Multiple-criteria decision-making (MCDM) is concerned with the ranking of decision alternatives based on preference judgements made on decision alternatives over a number of criteria. First, taking advantage of data fusion technology to comprehensively consider each criterion data is a reasonable idea to solve the MCDM problem. Second, in order to efficiently handle uncertain information in the process of decision making, some well developed mathematical tools, such as fuzzy sets theory and Dempster Shafer theory of evidence, are used to deal with MCDM. Based on the two main reasons above, a new fuzzy evidential MCDM method under uncertain environments is proposed. The rating of the criteria and the importance weight of the criteria are given by experts' judgments, represented by triangular fuzzy numbers. Then, the weights are transformed into discounting coefficients and the ratings are transformed into basic probability assignments. The final results can be obtained through the Dempster rule of combination in a simple and straight way. A numerical example to select plant location is used to illustrate the efficiency of the proposed method. (C) 2010 Elsevier Ltd. All rights reserved.
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