Journal
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
Volume 4, Issue 6, Pages 713-719Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s13042-012-0147-z
Keywords
Multi-attribute group decision making; Intuitionistic fuzzy sets; Intuitionistic fuzzy weighted OWA operator; Averaging operator
Categories
Funding
- National Natural Science Foundation of China [71171187, 11071142]
- Ministry of Education Foundation of Humanities and Social Sciences [10YJC630269]
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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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