Self-generating Interpretable Fuzzy Rules Model from Examples

Meng Li; Zhiwei Hu; Liang Jia-hong; Shilei Li

doi:10.1007/978-3-642-34390-2_24

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Self-generating Interpretable Fuzzy Rules Model from Examples

Meng Li Zhiwei Hu Liang Jia-hong Shilei Li

Year: 2012 Communications in computer and information science Pages: 202-209 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-34390-2_24

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Keywords:

Interpretability Computer science Fuzzy rule Fuzzy logic Function (biology) Set (abstract data type) Data mining Base (topology) Membership function Artificial intelligence Fuzzy set Fuzzy set operations Fuzzy number Defuzzification Fuzzy classification Type-2 fuzzy sets and systems Machine learning Algorithm Mathematics Programming language

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Fuzzy Logic and Control Systems

Physical Sciences → Computer Science → Artificial Intelligence

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Speech and dialogue systems

Physical Sciences → Computer Science → Artificial Intelligence

Self-generating Interpretable Fuzzy Rules Model from Examples

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