Interval-valued pointwise sustaining degree fuzzy reasoning methods based on the left-continuous t-representable t-norms

被引:0
|
作者
Luo, Minxia [1 ]
Xu, Donghui [1 ]
机构
[1] China Jiliang Univ, Dept Informat & Comp Sci, Hangzhou 310018, Peoples R China
基金
中国国家自然科学基金;
关键词
Interval-valued pointwise staining degree; left-continuous t-representable t-norms; Triple I method; quintuple implication principle; similarity measure method; FULL IMPLICATION ALGORITHMS; QUINTUPLE IMPLICATION PRINCIPLE; TRIPLE-I METHOD; LOGIC FOUNDATION; ROBUSTNESS; INFERENCE; SYSTEMS; SETS;
D O I
10.3233/JIFS-211076
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, the concept of alpha(x, y)-interval-valued pointwise sustaining degree based on the left-continuous trepresentable t-norms is put forward. And then, as a general extension based on the interval-valued pointwise sustaining degree, the interval-valued alpha(x, y)-full implication triple I method model, the interval-valued alpha(x, y)-quintuple implication principle models and the interval-valued alpha(x, y)-similarity measure method models are given. Moreover, the interval-valued R-type alpha(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.
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页码:5013 / 5029
页数:17
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