Adaptability, interpretability and rule weights in fuzzy rule-based systems
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Publication:498036
DOI10.1016/j.ins.2012.12.048zbMath1321.93010OpenAlexW2072396027MaRDI QIDQ498036
Publication date: 25 September 2015
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2012.12.048
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- A proposed method for learning rule weights in fuzzy rule-based classification systems
- Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning
- Applicability of the fuzzy operators in the design of fuzzy logic controllers
- Interpretability issues in fuzzy modeling
- Three-objective genetics-based machine learning for linguistic rule extraction
- Interpretability issues in data-based learning of fuzzy systems
- Interpolative reasoning with insufficient evidence in sparse fuzzy rule bases
- Interpretability, Interpolation and Rule Weights in Linguistic Fuzzy Modeling
- Fuzzy clustering for the estimation of the parameters of the components of mixtures of normal distributions
- HILK: A new methodology for designing highly interpretable linguistic knowledge bases using the fuzzy logic formalism
- Fuzzy identification of systems and its applications to modeling and control
- Genetic Fuzzy Systems
- A new approach to clustering
- Calculating the Singular Values and Pseudo-Inverse of a Matrix
- Fuzzy classifier design
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