期刊
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
卷 4, 期 6, 页码 713-719出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s13042-012-0147-z
关键词
Multi-attribute group decision making; Intuitionistic fuzzy sets; Intuitionistic fuzzy weighted OWA operator; Averaging operator
资金
- National Natural Science Foundation of China [71171187, 11071142]
- Ministry of Education Foundation of Humanities and Social Sciences [10YJC630269]
In this paper, we define a new operator, an intuitionistic fuzzy weighted OWA (IFWOWA) operator, to aggregate intuitionistic fuzzy information. The proposed operator combines the advantages of the intuitionistic fuzzy weighted averaging (IFWA) operator and the intuitionistic fuzzy ordered weighted averaging (IFOWA) operator. We then study its properties, compare it with the intuitionistic fuzzy hybrid averaging (IFHA) operator, and use it to solve multi-attribute group decision making problem with intuitionistic fuzzy information.
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