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Article type: Research Article
Authors: Zhu, Yuanguo | Ji, Xiaoyu
Affiliations: Department of Applied Mathematics, Nanjing University of Science and Technology, Nanjing 210094, China | Department of Mathematical Science, Tsinghua University, Beijing 100084, China
Note: [] Corresponding author. Tel.: +86 25 8431 5878; E-mail: [email protected]
Abstract: Based on the expected value of a fuzzy variable, the expected value of function of a fuzzy variable is studied. A fuzzy expected value model is solved by an intelligent algorithm mixed integral sum approximation and genetic algorithm. As applications of results derived, a merchandize apportionment problem is investigated.
Keywords: Fuzzy variable, expected value, fuzzy expected value model, intelligent algorithm
Journal: Journal of Intelligent & Fuzzy Systems, vol. 17, no. 5, pp. 471-478, 2006
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