模糊推理的对称五元蕴涵方法

IF 1.9 4区 数学 Q1 MATHEMATICS
Yiming Tang, G. Bao, J. Chen, W. Pedrycz
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引用次数: 1

摘要

提出了一种新的模糊推理方法SQI(对称五元组蕴涵)方法,它是对五元组蕴涵原理方法的推广。首先,提出了与QIP方法不同的对称五元组隐含原理。在此基础上,得到了模糊模量(FMP)和模糊模量(FMT)的SQI方法的统一最优解,并验证了其可逆性。此外,针对多规则情况,给出了SQI方法的最优解,该方法涉及两种通用方法,即FITA (first- inter -then-aggregate)和FATI (first-aggregate-then-infer)。分析了在SQI方法环境下,FITA和FATI的连续性和插值的等价关系。最后,给出了基于FATI的SQI方法在情感计算领域中出现的一个计算实例。结果表明,SQI方法保留了与QIP方法相同的特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the symmetric quintuple implicational method of fuzzy reasoning
A novel fuzzy reasoning method called the SQI (symmetric quintuple implicational) methodis put forward, which is a generalization of the QIP (quintuple implication principle) method. First of all, the symmetric quintuple implicational principles are presented, which are distinct from the ones of the QIP method. Then unified optimal solutions of the SQI method are obtained for FMP (fuzzy modus ponens) and FMT (fuzzy modus tollens), meanwhile corresponding reversible properties are verified. Furthermore, focusing on the case of multiple rules, optimal solutions of the SQI method are achieved, which involves two general approaches, i.e., FITA (first-infer-then-aggregate) and FATI (first-aggregate-then-infer). Equivalence relation of continuity and interpolation is analyzed for both FITA and FATI under the environment of the SQI method. Finally, one computing example arising in the field of affective computing is given for the SQI method with FATI. It is found that the SQI method preserves the same properties as the QIP method.
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来源期刊
CiteScore
3.50
自引率
16.70%
发文量
0
期刊介绍: The two-monthly Iranian Journal of Fuzzy Systems (IJFS) aims to provide an international forum for refereed original research works in the theory and applications of fuzzy sets and systems in the areas of foundations, pure mathematics, artificial intelligence, control, robotics, data analysis, data mining, decision making, finance and management, information systems, operations research, pattern recognition and image processing, soft computing and uncertainty modeling. Manuscripts submitted to the IJFS must be original unpublished work and should not be in consideration for publication elsewhere.
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