The design of granular classifiers: A study in the synergy of interval calculus and fuzzy sets in pattern recognition
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Publication:948006
DOI10.1016/J.PATCOG.2008.06.004zbMath1173.68685OpenAlexW2089177658MaRDI QIDQ948006
Publication date: 8 October 2008
Published in: Pattern Recognition (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.patcog.2008.06.004
membership functionscore and secondary structure of patternsDBSCANgranular classifierhyperboxesseparability index
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- Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic
- Neuro-fuzzy approach to processing inputs with missing values in pattern recognition problems.
- Enhancement of fuzzy clustering by mechanisms of partial supervision
- 10.1162/15324430152733133
- Fuzzy rules extraction directly from numerical data for function approximation
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