Parameter optimization for intuitionistic trapezoidal fuzzy model using multiple objective programming method

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

A Multiple Objective Programming Method for an Intuitionistic Trapezoidal Fuzzy Model (MOPM-ITFM) is proposed to improve the accuracy of estimation by optimizing the parameters. The advantage of the proposal is more realistic to consider the degrees of both the acceptance and the rejection of intuitionistic trapezoidal fuzzy number (ITFN) than conventional fuzzy model only considering the former. The proposal is realized by tuning the membership function shapes, the adaptive factors of matching degree and the rule weights. The constraint condition of the proposal is considered in the definition of ITFN. Input fuzzy partitions of an Intuitionistic Trapezoidal Fuzzy Model (ITFM) are modified through the proposal. MOPM-ITFM has been used for a medical diagnosis. Compared with Single Objective Programming Method (SOPM), the results show that the mean square error (MSE) between the output given by domain experts and the output of (MOPM-ITFM) improves 47% than that of SOPM. In the further work, the interpretability of input fuzzy partitions is also needed to be improved in ITFM.

源语言英语
主期刊名Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016
编辑Jie Lu, Ludovic Koehl, Etienne E. Kerre, Luis Martinez, Xianyi Zeng
出版商World Scientific Publishing Co. Pte Ltd
602-611
页数10
ISBN(电子版)9789813146969
DOI
出版状态已出版 - 2016
活动Uncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016 - Roubaix, 法国
期限: 24 8月 201626 8月 2016

出版系列

姓名Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016

会议

会议Uncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016
国家/地区法国
Roubaix
时期24/08/1626/08/16

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引用此

Wang, Y., Dai, Y., & Hirota, K. (2016). Parameter optimization for intuitionistic trapezoidal fuzzy model using multiple objective programming method. 在 J. Lu, L. Koehl, E. E. Kerre, L. Martinez, & X. Zeng (编辑), Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016 (页码 602-611). (Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016). World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/9789813146976_0096