Some considerations about a least squares model for fuzzy rules of inference

DOI10.1016/S0165-0114(96)00341-7zbMath0930.03025OpenAlexW2003986841MaRDI QIDQ1296862

V. Mohedano, Humberto Bustince, María Calderón

Publication date: 3 August 1999

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-0114(96)00341-7

zbMATH Keywords

fuzzy logicapproximate reasoningpower functiongeneralized modus ponensgeneralized modus tollensfuzzy conditional propositionsfuzzy inference rulesleast squares model

Mathematics Subject Classification ID

Fuzzy logic; logic of vagueness (03B52) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (1)

Approximate reasoning algorithm of interval-valued fuzzy sets based on least square method

Cites Work

• A method of inference in approximate reasoning based on interval-valued fuzzy sets
• Feasible algorithms for approximate reasoning using fuzzy logic
• Some considerations on fuzzy conditional inference
• Comparison of fuzzy reasoning methods
• The effects of membership function on fuzzy reasoning
• The concept of a linguistic variable and its application to approximate reasoning. II
• The concept of a linguistic variable and its application to approximate reasoning. III
• A least squares model for fuzzy rules of inference
• Robust fuzzy inference

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