On the Usefulness of Interval Valued Fuzzy Sets for Learning Fuzzy Rule Based Classification Systems

Francisco Herrera

doi:10.1007/978-3-642-24001-0_1

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On the Usefulness of Interval Valued Fuzzy Sets for Learning Fuzzy Rule Based Classification Systems

Francisco Herrera

Year: 2011 Advances in intelligent and soft computing Pages: 3-4 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-24001-0_1

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Keywords:

Type-2 fuzzy sets and systems Membership function Mathematics Fuzzy classification Defuzzification Fuzzy set Fuzzy number Fuzzy rule Fuzzy set operations Artificial intelligence Interpretability Fuzzy logic Interval (graph theory) Equivalence (formal languages) Data mining Computer science Discrete mathematics

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Fuzzy Logic and Control Systems

Physical Sciences → Computer Science → Artificial Intelligence

On the Usefulness of Interval Valued Fuzzy Sets for Learning Fuzzy Rule Based Classification Systems

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