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Indexed by:期刊论文

Date of Publication:2017-09-01

Journal:SOFT COMPUTING

Included Journals:Scopus、SCIE、EI

Volume:21

Issue:18,SI

Page Number:5245-5264

ISSN No.:1432-7643

Key Words:Intuitionistic fuzzy implication operators; Lebesgue measure; Cut sets; Fuzzy relation; Representation theorem

Abstract:In this paper, two novel constructive methods for fuzzy implication operators are proposed. And they can be used to resolve the questions about how to construct intuitionistic fuzzy implication operators to inference sentence "If x is A, then y is B," where A and B are intuitionistic fuzzy sets over X and Y, respectively. In the first method, cut sets and representation theorem of intuitionistic fuzzy sets are utilized through triple valued fuzzy implications as well as fuzzy relations to obtain seven intuitionistic fuzzy implication operators. In the second method, the Lebesgue measure of the fuzzy implications with value one and zero is used, and one intuitionistic fuzzy implication operator can be obtained. Finally, properties of those operators are discussed.