A new approach to fuzzy rule generation: Fuzzy extension matrix

DOI10.1016/S0165-0114(01)00002-1zbMath1001.68921OpenAlexW2041396672WikidataQ127814501 ScholiaQ127814501MaRDI QIDQ5951775

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Publication date: 7 January 2002

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

Full work available at URL: https://doi.org/10.1016/s0165-0114(01)00002-1

zbMATH Keywords

knowledge acquisitionfuzzy representation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99) Knowledge representation (68T30)

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AN ANALYSIS OF ELM APPROXIMATE ERROR BASED ON RANDOM WEIGHT MATRIX ⋮ A new effect-based roughness measure for attribute reduction in information system

Uses Software

• C4.5

Cites Work

• Unnamed Item
• Learning optimization in simplifying fuzzy rules
• Self-organization and associative memory.
• A genetic algorithm for generating fuzzy classification rules
• On the handling of fuzziness for continuous-valued attributes in decision tree generation
• AE1: An extension matrix approximate method for the general covering problem
• A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory

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