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Interval-valued fuzzy reasoning method based on similarity measure
Journal of Logical and Algebraic Methods in Programming ( IF 0.7 ) Pub Date : 2020-03-12 , DOI: 10.1016/j.jlamp.2020.100541
Minxia Luo , Yajing Wang , Ruirui Zhao

In this paper, a new similarity measure of interval-valued fuzzy sets is introduced. Meanwhile, interval-valued fuzzy reasoning method based on similarity measure for Fuzzy Modus Ponens and Fuzzy Modus Tollens are proposed, and the solutions of interval-valued fuzzy reasoning method based on similarity measure are given. Moreover, the robustness of interval-valued fuzzy reasoning method based on similarity measure is discussed. Finally, general interval-valued fuzzy reasoning method based on similarity measure is proposed.



中文翻译:

基于相似度测度的区间值模糊推理方法

本文介绍了一种新的区间值模糊集相似性度量。同时,提出了一种基于相似度度量的区间值模糊推理方法,用于模糊模态量和模糊模量收费,并给出了基于相似度度量的区间值模糊推理方法的解决方案。此外,讨论了基于相似度测度的区间值模糊推理方法的鲁棒性。最后,提出了基于相似度测度的一般区间值模糊推理方法。

更新日期:2020-03-12
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