Affiliations: School of Management, Shanghai University, Shanghai, China
Correspondence:
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Corresponding author. Ke Wang, School of Management, Shanghai University, Shanghai 200444, China. Tel.: +86 21 66137696 804; Fax: +86 21 66134284; E-mail: [email protected].
Abstract: In practice, some special LR fuzzy numbers, like the triangular fuzzy number, the Gaussian fuzzy number and the Cauchy fuzzy number, are widely used in many areas to deal with various vague information. With regard to these special LR fuzzy numbers, called regular LR fuzzy numbers in this paper, an operational law is proposed for fuzzy arithmetic, providing a novel approach to analytically and exactly calculating the inverse credibility distribution of some specific arithmetical operations based on the credibility measure. As an application of the operational law, an equivalent form of the expected value operator as well as a theorem for computing the expected value of strictly monotone functions is suggested. Finally, we utilize the operational law to construct a solution framework of fuzzy programming with parameters of regular LR fuzzy numbers, and such type of fuzzy programming problems can be handled by the operational law as the classic deterministic programming without any particular solving techniques.
Keywords: LR fuzzy number, regular LR fuzzy number, fuzzy arithmetic, operational law, expected value, fuzzy programming
