n-Dimensional Fuzzy Implications: Analytical, Algebraic and Applicational Approaches

R. Zanotelli, R. Reiser, Benjamín Bedregal
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引用次数: 1

Abstract

The study of n-dimensional fuzzy logic contributes to overcome the insufficiency of traditional FL in modeling imperfect and imprecise information coming from different experts. Based on representability, we extend results from fuzzy connectives to n-dimensional approach. This research on n-dimensional fuzzy implications (n-DI) pass through the next steps: (i) analytical studies; (ii) algebraic aspects; (iii) n-dimensional approach of fuzzy implication classes represented by fuzzy connectives as (S, N)-implications and QL-implications; (iv) studies of n-dimensional R-implications (n-DRI); (v) constructive method obtaining n-DRI based on n-dimensional aggregation operators and (vi) an introductory study considering an n-DI in modeling approximate reasoning.
n维模糊含义:分析、代数和应用方法
n维模糊逻辑的研究有助于克服传统模糊逻辑对来自不同专家的不完善和不精确的信息进行建模的不足。基于可表征性,我们将模糊连接词的结果推广到n维方法。本文对n维模糊含义(n-DI)的研究通过以下几个步骤:(1)分析研究;代数方面;(iii)用模糊连接词(S, N)-蕴涵和ql -蕴涵表示的模糊蕴涵类的N维方法;(iv) n维r影响研究(n-DRI);(v)基于n维聚集算子获得n-DRI的构造方法;(vi)在近似推理建模中考虑n-DI的介绍性研究。
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