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Article type: Research Article
Authors: Luo, Minxia; * | Xu, Donghui
Affiliations: Department of Information and Computing Science, China Jiliang University, Hangzhou, PR China
Correspondence: [*] Corresponding author. Minxia Luo, Department of Information and Computing Science, China Jiliang University, Hangzhou 310018, PR China. Tel.: +86-571-86875634; E-mail: [email protected].
Abstract: In this paper, the concept of α (x, y)-interval-valued pointwise sustaining degree based on the left-continuous t-representable t-norms is put forward. And then, as a general extension based on the interval-valued pointwise sustaining degree, the interval-valued α (x, y)-full implication triple I method model, the interval-valued α (x, y)-quintuple implication principle models and the interval-valued α (x, y)-similarity measure method models are given. Moreover, the interval-valued R -type α (x, y)-fuzzy reasoning solutions with triple I method, quintuple implication principle and similarity measure method are given. Some existing results are special cases of the main conclusions in this paper.
Keywords: Interval-valued pointwise staining degree, left-continuous t-representable t-norms, Triple I method, quintuple implication principle, similarity measure method
DOI: 10.3233/JIFS-211076
Journal: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 6, pp. 5013-5029, 2022
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