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Article type: Research Article
Authors: Li, Zehuaa; b | Wei, Fuyia; *
Affiliations: [a] College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China | [b] College of Engineering, South China Agricultural University, Guangzhou, China
Correspondence: [*] Corresponding author. Fuyi Wei, College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China. Tel./Fax: +86 20 85285399; E-mail: [email protected].
Abstract: Intuitionistic fuzzy set (IFS) is an extension of fuzzy set. The basic element of an IFS is the ordered pair called intuitionistic fuzzy number (IFN). So far, some basic operational laws of IFNs are defined, but not including the logarithmic operation. In this paper, a logarithmic operational law about IFNs is defined, in which the base λ is a real number in (0, 1). Then some properties of the operational law are investigated, and four intuitionistic fuzzy information aggregation methods are proposed. Finally, the influences of logarithmic operation for IFNs and the selection of the logarithmic base λ in practice are discussed, and an example is illustrated to show the applications of the operational law and the aggregation methods.
Keywords: Intuitionistic fuzzy numbers, logarithmic operational law, information aggregation, parameter selection
DOI: 10.3233/JIFS-161736
Journal: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 6, pp. 3241-3253, 2017
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