A genetic tuning to improve the performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of ignorance and lateral position-Reference-Cited by-同舟云学术

A genetic tuning to improve the performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of ignorance and lateral position

Published:2011-09 Issue:6 Volume:52 Page:751-766
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Sanz J.,Fernández A.,Bustince H.,Herrera F.

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

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5. A proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection;Alcalá;IEEE Trans. Fuzzy Syst.,2007

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