A Theory of Approximate Reasoning with Type-2 Fuzzy Set

IF 0.3 Q4 MATHEMATICS
Sudin Mandal, Injamam Ul Karim, S. Raha
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引用次数: 0

Abstract

In this paper, an attempt is made to study approximate reasoning based on a Type-2  fuzzy set theory. In the process, we have examined the underlying fuzzy logic structure on which the reasoning is formulated. We have seen that the partial/incomplete/imprecise truth-values of elements of a type-2 fuzzy set under consideration forms a lattice. We propose two new lattice operations which ultimately help us to define a residual and thereby making the structure of truth- values a residuated lattice. We have focused upon two typical rules of inference used mostly in ordinary approximate reasoning methodology based on Type-1 fuzzy set theory. Our proposal is illustrated with typical artificial examples.
一类2型模糊集近似推理理论
本文尝试研究基于二类模糊集理论的近似推理问题。在这个过程中,我们已经检查了推理的基本模糊逻辑结构。我们已经看到,考虑的2型模糊集合的元素的部分/不完全/不精确真值形成一个格。我们提出了两个新的格运算,最终帮助我们定义残差,从而使真值结构成为残差格。本文重点讨论了基于1型模糊集理论的普通近似推理方法中常用的两个典型推理规则。我们的建议用典型的人工例子加以说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.70
自引率
33.30%
发文量
20
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