模糊系统与数学2024,Vol.38Issue(1) :1-15.

λ-弱蕴涵及其在模糊推理中的应用

λ-Weak Implications and Its Application in Fuzzy Reasoning

付凯 潘小东 申涵寒
模糊系统与数学2024,Vol.38Issue(1) :1-15.

λ-弱蕴涵及其在模糊推理中的应用

λ-Weak Implications and Its Application in Fuzzy Reasoning

付凯 1潘小东 1申涵寒1
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作者信息

  • 1. 西南交通大学数学学院,四川成都 610031
  • 折叠

摘要

针对现有模糊蕴涵算子对于变元取值差异不敏感的问题,本文引入了一种新的蕴涵算子:λ-弱蕴涵.首先,给出了λ-弱蕴涵的两种合成方式;其次,给出了三类λ-弱蕴涵族:(F,N)-λ-弱蕴涵族、f-生成λ-弱蕴涵族和g-生成λ-弱蕴涵族,并讨论了每类λ-弱蕴涵的左单位元性质,交换性、有序性以及关于模糊否定的换置位对称性等代数性质;最后,将λ-弱蕴涵应用于全蕴涵三I算法,针对一类特定的λ-弱蕴涵算子,建立了α-3Iλ算法并分析算法的还原性.

Abstract

In this paper,a new implication operator:λ-weak implication is introduced to solve the problem that the ex-isting fuzzy implication operators are not sensitive to the diference of argument values.First,two ways of synthesizingλ-weak implication are given.Secondly,three types of λ-weak implication families are presented,i.e,(F,N)-λ-weak implication family,f-generated-λ-weak implication family and g-generated-λ-weak implication family,and the algebraic properties of these implication families,such as left neutrality property,exchange principe,ordering property and the contrapositive symmetry with respect to fuzzy negation are discussed.Finally,the λ-weak implication is applied to the full implication reasoning algorithm,and the algorithm is es-tablished based on a special type of λ-weak implication op-erators and the reducibility of the algorithm is analyzed.

关键词

λ-弱蕴涵/聚合函数/生成子/模糊推理三Ⅰ算法/支持度理论

Key words

λ-Weak Implication/Aggregate Function/Generator/Full Implication Reasoning Algorithm/Support Degree Theory

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基金项目

国家自然科学基金(61673320)

国家自然科学基金(61976130)

四川省应用基础研究计划项目()

出版年

2024
模糊系统与数学
国防科技大学理学院

模糊系统与数学

CSTPCD北大核心
影响因子:0.42
ISSN:1001-7402
参考文献量6
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