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Volumn , Issue , 2009, Pages 339-344

A logic-based approach for evaluating interpretability of fuzzy rule-based classifiers

Author keywords

Fuzzy rule based classifiers; Interpretability assessment; Logic minimization; Quine McCluskey algorithm

Indexed keywords

CLASSIFICATION ABILITY; CLASSIFICATION ACCURACY; FUZZY CLASSIFIERS; FUZZY RULE-BASED CLASSIFIER; ILLUSTRATIVE EXAMPLES; INTERPRETABILITY; LOGIC MINIMIZATION; LOGIC-BASED APPROACH; QUINE-MCCLUSKEY; TRUTH TABLES;

EID: 84871880848     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (10)
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    • L.A. Zadeh. Is there a need for fuzzy logic? Information Sciences 178:2751-2779, 2008
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  • 6
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    • HILK: A new methodology for designing highly interpretable linguistic knowledge bases using the fuzzy logic formalism
    • J.M. Alonso, L. Magdalena, S. Guillaume. HILK: A new methodology for designing highly interpretable linguistic knowledge bases using the fuzzy logic formalism. International Journal of Intelligent Systems 23:761-794, 2008
    • (2008) International Journal of Intelligent Systems , vol.23 , pp. 761-794
    • Alonso, J.M.1    Magdalena, L.2    Guillaume, S.3
  • 7
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    • Minimization of boolean functions
    • E.J. McCluskey. Minimization of Boolean functions. Bell Labs Technical Journal 35(5):1417-1444, 1956
    • (1956) Bell Labs Technical Journal , vol.35 , Issue.5 , pp. 1417-1444
    • McCluskey, E.J.1
  • 8
    • 0029359114 scopus 로고
    • An enhanced two-level boolean synthesis methodology for fuzzy rules minimization
    • IEEE Transactions on
    • R. Rovatti, R. Guerrieri, G. Baccarani. An enhanced two-level Boolean synthesis methodology for fuzzy rules minimization, Fuzzy Systems, IEEE Transactions on 3(3):288-299, 1995
    • (1995) Fuzzy Systems , vol.3 , Issue.3 , pp. 288-299
    • Rovatti, R.1    Guerrieri, R.2    Baccarani, G.3
  • 9
    • 0037361892 scopus 로고    scopus 로고
    • Learning fuzzy classification rules from labeled data
    • J.A. Roubos, M. Setnes, J. Abonyi. Learning fuzzy classification rules from labeled data. Information Sciences 150:77-93, 2003
    • (2003) Information Sciences , vol.150 , pp. 77-93
    • Roubos, J.A.1    Setnes, M.2    Abonyi, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.