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- W3148835301 abstract "Although many researchers have realized that the trade determination problem in one-shot multi-attribute exchanges is an important decision problem, few studies can be really applied to deal with this issue under a fuzzy environment. This paper proposes a multi-objective matching approach for one-shot multi-attribute exchanges with fuzzy information. First, we use fuzzy set theory to represent the traders' orders with fuzzy information and then give a framework for the proposed multi-objective matching approach. Second, we present a novel calculation method of the matching degree based on the improved fuzzy information axiom. According to the matching de- gree, we build a fuzzy multi-objective optimization model (FMOM) for the trade determination problem, where two criteria, i.e., profits and satisfactions, are considered si- multaneously. Afterward, in order to solve the FMOM, the fuzzy chance constrained programming technique based on credibility measures and the fuzzy goal programming method are introduced to convert it into a crisp single objective one. Finally, we conduct the numerical study and analysis on a practical example to illustrate the application and effectiveness of the proposed multi-objective matching approach." @default.
- W3148835301 created "2021-04-13" @default.
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- W3148835301 date "2015-01-01" @default.
- W3148835301 modified "2023-09-27" @default.
- W3148835301 title "A Multi-objective Matching Approach for One-Shot Multi-attribute Exchanges Under a Fuzzy Environment" @default.
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