期刊
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
卷 5, 期 3, 页码 435-444出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s13042-013-0178-0
关键词
Multi-attribute group decision making; Atanassov's intuitionistic fuzzy set entropy; Similarity measure; Weights of experts
资金
- National Natural Science Foundation of China [71171187, 71271050]
- Ministry of Education Foundation of Humanities and Social Sciences [10YJC630269]
In this paper, we propose a new similarity measure for Atanassov's intuitionistic fuzzy sets by the relationship between entropy and similarity measure. With respect to multi-attribute group decision making problem, we then give an approach to derive the relative importance weights of experts. This approach takes into account decision information from three aspects: the uncertainty degrees of individual expert's assessing information for alternatives, the similarity degree of the assessing information for alternatives provided by individual expert, and the similarity degree of the individual expert's assessing information to all the others'. Finally, we establish a method for handling multi-attribute group decision making problem with Atanassov's intuitionistic fuzzy information, and adopt an illustrative example to demonstrate its rationality and effectiveness.
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