Incorporation of Excluding Features in Fuzzy Relational Compositions Based on Generalized Quantifiers

被引:4
|
作者
Cao, Nhung [1 ]
Stepnicka, Martin [1 ]
机构
[1] Univ Ostrava, Inst Res & Applicat Fuzzy Modeling, CE IT4Innovat, 30 Dubna 22, CZ-70103 Ostrava, Czech Republic
关键词
Fuzzy relational compositions; Fuzzy relational products; Bandler-Kohout products; Fuzzy measures; Generalized (fuzzy) quantifiers; Medical diagnosis; Classification; SEMANTICS; OPERATORS; EQUATIONS;
D O I
10.1007/978-3-319-66830-7_33
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The concepts of incorporation of excluding features in fuzzy relational compositions and the compositions based on generalized quantifiers are useful tools for improving relevance and precision of the suspicion provided by the standard fuzzy relational compositions initial studied by Willis Bandler and Ladislav Kohout. They are independently extended from the standard compositions. However, it may become a very effective tool if they are used together. Taking this natural motivation leads us to introduce the concept of incorporation of excluding features in fuzzy relational compositions based on generalized quantifiers. Most of valid properties preserved for the two mentioned approaches will be proved for the new concept as well. Furthermore, an illustrative example will be presented for showing the usefulness of the approach.
引用
收藏
页码:368 / 379
页数:12
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