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Volumn 19, Issue 7, 2004, Pages 653-670

Associations and rules in data mining: A link analysis

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUZZY SETS; KNOWLEDGE BASED SYSTEMS; PROBABILITY;

EID: 3042600832     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/int.20016     Document Type: Conference Paper
Times cited : (11)

References (17)
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  • 4
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    • Can approximate reasoning be consistent
    • Buckley J, Hayashi Y. Can approximate reasoning be consistent. Fuzzy Sets Syst 1994; 65:13-18.
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    • Buckley, J.1    Hayashi, Y.2
  • 5
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    • A proposal on reasoning methods in fuzzy rule based classification systems
    • Cordon MJ, Herrera F. A proposal on reasoning methods in fuzzy rule based classification systems. Int J Approx Reason 1999;20:21-45.
    • (1999) Int J Approx Reason , vol.20 , pp. 21-45
    • Cordon, M.J.1    Herrera, F.2
  • 6
    • 0034321206 scopus 로고    scopus 로고
    • Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing
    • Cordon MJ, Herrera F, Villar P. Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing. Int J Approx Reason 2000;25(3):187-215.
    • (2000) Int J Approx Reason , vol.25 , Issue.3 , pp. 187-215
    • Cordon, M.J.1    Herrera, F.2    Villar, P.3
  • 7
    • 0031146974 scopus 로고    scopus 로고
    • A fuzzy clustering-based prototyping for fuzzy rule-based modeling
    • Delgado M, Gomez-Skarmeta F, Martin F. A fuzzy clustering-based prototyping for fuzzy rule-based modeling. IEEE Trans Fuzzy Syst 1997;5(2):223-233.
    • (1997) IEEE Trans Fuzzy Syst , vol.5 , Issue.2 , pp. 223-233
    • Delgado, M.1    Gomez-Skarmeta, F.2    Martin, F.3
  • 8
    • 0032143233 scopus 로고    scopus 로고
    • A methodology to model fuzzy systems using fuzzy clustering in a rapid-prototyping approach
    • Delgado M, Gomez-Skarmets AF, Martin F. A methodology to model fuzzy systems using fuzzy clustering in a rapid-prototyping approach. Fuzzy Sets Syst 1998;97(3):287-302.
    • (1998) Fuzzy Sets Syst , vol.97 , Issue.3 , pp. 287-302
    • Delgado, M.1    Gomez-Skarmets, A.F.2    Martin, F.3
  • 9
    • 0030577310 scopus 로고    scopus 로고
    • What are fuzzy rules and how to use them
    • Dubois D, Prade H. What are fuzzy rules and how to use them. Fuzzy Sets Syst 1996;84:169-185.
    • (1996) Fuzzy Sets Syst , vol.84 , pp. 169-185
    • Dubois, D.1    Prade, H.2
  • 10
    • 0029359001 scopus 로고
    • Selecting fuzzy if-then rules for classification problems using genetic algorithms
    • Ishibuchi H, Nozaki K, Yamamoto N, Tanaka H. Selecting fuzzy if-then rules for classification problems using genetic algorithms. IEEE Trans Fuzzy Syst 1995;3(3):260-270.
    • (1995) IEEE Trans Fuzzy Syst , vol.3 , Issue.3 , pp. 260-270
    • Ishibuchi, H.1    Nozaki, K.2    Yamamoto, N.3    Tanaka, H.4
  • 11
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    • Nafarieh A, Keller A. A new approach to inference in approximate reasoning. Fuzzy Sets Syst 1991;41:17-37.
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    • Nafarieh, A.1    Keller, A.2
  • 13
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    • On the semantics of fuzzy logic
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  • 14
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  • 17
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    • Induction of fuzzy decision trees
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    • Yuan, Y.1    Shaw, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.