期刊
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
卷 15, 期 3, 页码 285-297出版社
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0218488507004686
关键词
intuitionistic fuzzy set (IFS); intuitionistic fuzzy ideal solution (IFIS); multiple attribute decision making (MADM); interval-valued intuitionistic fuzzy set (IVIFS); distance measure
The intuitionistic fuzzy set (IFS) characterized by a membership function and a nonmembership function, was introduced by Atanassov [K. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems 20 (1986) 87-96] as a generalization of Zadeh' fuzzy set [L. A. Zadeh, Fuzzy Sets, Information and Control 8 (1965) 338-353] to deal with fuzziness and uncertainty. In this paper, we investigate the multiple attribute decision making (MADM) problems, in which the information about attribute weights is incomplete, and the attribute values are expressed in intuitionistic fuzzy numbers (IFNs). We first define the concept of intuitionistic fuzzy ideal solution (IFIS), and then, based on the IFIS and the distance measure, we establish some optimization models to derive the attribute weights. Furthermore, based on the developed models, we develop some procedures for the rankings of alternatives under different situations, and extend the developed models and procedures to handle the MADM problems with interval-valued intuitionistic fuzzy information. Finally, we give some illustrative examples to verify the effectiveness and practicability of the developed models and procedures.
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