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Fuzzy relation-based models for handling uncertainty (in a non-probabilistic way) in diagnosis problems have been introduced by Sanchez about 20 years ago, ...
Fuzzy relation-based models for handling uncertainty (in a non-probabilistic way) in diagnosis problems have been introduced by Sanchez about 20 years ago.
Fuzzy relation-based models for handling uncertainty (in a non-probabilistic way) in diagnosis problems have been introduced by Sanchez about 20 years ago.
Fuzzy relation equations and causal reasoning · D. Dubois, H. Prade · Published in Fuzzy Sets Syst. 27 October 1995 · Computer Science · Fuzzy Sets Syst.
A new kind of fuzzy relation equations based on inner transformation · A unified 2d representation of fuzzy reasoning, CBR, and experience based reasoning.
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Sep 25, 2024 · This paper studies the solvability of the max-product fuzzy relation equations in which a negation operator is considered.
Fuzzy Relational Equations and Neutrosophic Relational Equations ; Consider now two binary fuzzy relations P(X, Y) and Q(Y,. Z) with a common set Y. The standard ...
Oct 22, 2024 · Counterfactual explanation is a method for understanding the causal impact of changes in input variables on a model's output. It involves ...
Sep 24, 2024 · Fuzzy relation equations (FRE) arise as an approximate reasoning tool for discerning the possible relations masked in a database, ...
The introduction of Fuzzy Relational Equations (FREs) has made problems that were unsolvable using algebraic linear equations into solvable ones.
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