Learning rules for a fuzzy inference model

DOI10.1016/0165-0114(93)90470-3zbMath0803.68114OpenAlexW2144077504MaRDI QIDQ1321917

Luis M. de Campos, Serafín Moral

Publication date: 3 May 1994

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

Full work available at URL: https://doi.org/10.1016/0165-0114(93)90470-3

zbMATH Keywords

approximate reasoninginductive learningrule-based systemsupper and lower probabilitiesfuzzy inference model

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (4)

Signal propagation of fuzzy granule networks deriving from financial time series ⋮ Learning maximal structure rules in fuzzy logic for knowledge acquisition in expert systems ⋮ TRADE-OFF BETWEEN COMPUTATION TIME AND NUMBER OF RULES FOR FUZZY MINING FROM QUANTITATIVE DATA ⋮ Description of learning space based on interval fuzzy sets and fuzzy inductive learning algorithm ILA

Cites Work

• An identification algorithm in fuzzy relational systems
• Distances between fuzzy measures through associated probabilities: Some applications
• On using random relations to generate upper and lower probabilities
• Theory of capacities
• Propagating uncertain information forward
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