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Quadratic Programming with Max-product Fuzzy Relation Inequality Constraints

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Fuzzy Information and Engineering and Decision (IWDS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 646))

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Abstract

In this paper, a new method for quadratic programming with max-product fuzzy relation inequality constraints is proposed. First, the properties of the optimal solution are analyzed in several special cases of fuzzy relation quadratic programming. Simultaneously, some rules are presented to simplify the original fuzzy relation quadratic programming problem. Then, an algorithm is presented, based on rules, the branch and bound method and numerical algorithm for solving traditional quadratic programming problems with interval constraints. The proposed algorithm does not need to find all feasible minimal solutions. Hence, the amount of calculation is reduced. Some numerical examples are given to illustrate the feasibility and effectiveness of the proposed algorithm.

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Acknowledgements

Supported by the Innovation and Building Strong School Project of Colleges of Guangdong Province (2015KQNCX094,2015KTSCX095), the Natural Science Foundation of Guangdong Province (2016A030307037,2016A030313552), and the General Fund Project of the Ministry of Education and Social Science Research(16YJAZH081).

Recommender: Academic Conference on 30th anniversary of fuzzy geometric programming and 40th education year by and of Professor Cao Bingyuan.

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Correspondence to Pei-Hua Wang .

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Zhou, XG., Yang, XP., Wang, PH. (2018). Quadratic Programming with Max-product Fuzzy Relation Inequality Constraints. In: Cao, BY. (eds) Fuzzy Information and Engineering and Decision. IWDS 2016. Advances in Intelligent Systems and Computing, vol 646. Springer, Cham. https://doi.org/10.1007/978-3-319-66514-6_24

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  • DOI: https://doi.org/10.1007/978-3-319-66514-6_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66513-9

  • Online ISBN: 978-3-319-66514-6

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