由重叠函数导出的模糊差分算子

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Songsong Dai, Haifeng Song, Yingying Xu, Lei Du
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引用次数: 0

摘要

本文引入了重叠函数O和模糊否定N的(O, N)-差分的概念。(O, N)-差分弱于由正、连续t模和模糊否定构造的模糊差分,因为(O, N)-差分不一定满足某些性质,作为正确的中立性原则,而只是这些性质的弱版本。分析了(O, N)-差分所满足的主要性质,给出了(O, N)-差分的表征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy difference operators derived from overlap functions
This paper introduces the concept of (O, N)-difference, for an overlap function O and a fuzzy negation N. (O, N)-differences are weaker than fuzzy difference constructed from positive and continuous t-norms and fuzzy negations, in the sense that (O, N)-differences do not necessarily satisfy certain properties, as the right neutrality principle, but only weaker versions of these properties. This paper analyzes the main properties satisfied by (O, N)-differences, and provides a characterization of (O, N)-difference.
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来源期刊
Journal of Intelligent & Fuzzy Systems
Journal of Intelligent & Fuzzy Systems 工程技术-计算机:人工智能
CiteScore
3.40
自引率
10.00%
发文量
965
审稿时长
5.1 months
期刊介绍: The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
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