메뉴 건너뛰기




Volumn 38, Issue 9, 2011, Pages 10780-10786

Learning fuzzy rules for similarity assessment in case-based reasoning

Author keywords

Case based reasoning; Fuzzy rules; Genetic algorithms; Learning; Similarity

Indexed keywords

CASE BASE; CASE LIBRARY; CASE MATCHING; DOMAIN KNOWLEDGE; EVALUATION CRITERIA; FEATURE WEIGHTING; FUZZY IF-THEN RULES; FUZZY RULE LEARNING; FUZZY SIMILARITY; LEARNING; LEARNING FUZZY RULES; PAIR-WISE COMPARISON; RULE BASED REASONING; SIMILAR SOLUTION; SIMILARITY; SIMILARITY ASSESSMENT; SIMILARITY MEASURE; SIMILARITY MODELS; TRAINING SAMPLE;

EID: 79955620798     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.01.151     Document Type: Article
Times cited : (45)

References (25)
  • 1
    • 0028401306 scopus 로고
    • Case-based reasoning: Foundational issues, methodological variations, and system approaches
    • A. Aamodt, and E. Plaza Case-based reasoning: foundational issues, methodological variations, and system approaches Artificial Intelligence Com 7 1994 39 59
    • (1994) Artificial Intelligence Com , vol.7 , pp. 39-59
    • Aamodt, A.1    Plaza, E.2
  • 2
    • 33749996478 scopus 로고    scopus 로고
    • Global optimization of feature weights and the number of neighbors that combine in a case-based reasoning system
    • DOI 10.1111/j.1468-0394.2006.00410.x
    • H. Ahn, K. Kim, and I. Han Global optimization of feature weights and the number of neighbors that combine in a case-based reasoning system Expert Systems 23 2006 290 301 (Pubitemid 44571103)
    • (2006) Expert Systems , vol.23 , Issue.5 , pp. 290-301
    • Ahn, H.1    Kim, K.-J.2    Man, I.3
  • 4
    • 0343408328 scopus 로고    scopus 로고
    • Using Introspective Learning to Improve Retrieval in CBR: A Case Study in Air Traffic Control
    • Bonzano, A.; Cunningham, P.; & Smith, B. (1997). Using introspective learning to improve retrieval in CBR: A case study in air traffic control. In: Proceedings of the 2nd international conference on case-based reasoning (pp. 291-302). (Pubitemid 127103937)
    • (1997) Lecture Notes in Computer Science , Issue.1266 , pp. 291-302
    • Bonzano, A.1    Cunningham, P.2    Smyth, B.3
  • 7
  • 10
    • 0032595775 scopus 로고    scopus 로고
    • General and efficient multisplitting of numerical attributes
    • T. Elomaa, and J. Rousu General and efficient multisplitting of numerical attributes Machine Learning 36 1999 201 244
    • (1999) Machine Learning , vol.36 , pp. 201-244
    • Elomaa, T.1    Rousu, J.2
  • 12
    • 1842587806 scopus 로고    scopus 로고
    • Design of accurate classifiers with a compact fuzzy-rule base using an evolutionary scatter partition of feature space
    • S.Y. Ho, H.M. Chen, and S.J. Ho Design of accurate classifiers with a compact fuzzy-rule base using an evolutionary scatter partition of feature space IEEE Transactions on Systems, Man, and Cybernetics, Part B 34 2004 1031 1043
    • (2004) IEEE Transactions on Systems, Man, and Cybernetics, Part B , vol.34 , pp. 1031-1043
    • Ho, S.Y.1    Chen, H.M.2    Ho, S.J.3
  • 13
    • 22144437737 scopus 로고    scopus 로고
    • Finding useful fuzzy concepts for pattern classification using genetic algorithm
    • Y.C. Hu Finding useful fuzzy concepts for pattern classification using genetic algorithm Information Sciences 175 2005 1 19
    • (2005) Information Sciences , vol.175 , pp. 1-19
    • Hu, Y.C.1
  • 14
    • 33751186914 scopus 로고    scopus 로고
    • Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetic-based machine learning
    • H. Ishibuchi, and Y. Nojima Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetic-based machine learning International Journal of Approximate Reasoning 44 2007 4 31
    • (2007) International Journal of Approximate Reasoning , vol.44 , pp. 4-31
    • Ishibuchi, H.1    Nojima, Y.2
  • 17
    • 0036904721 scopus 로고    scopus 로고
    • Mamdani fuzzy system: Universal approximator to a class of random processes
    • P. Liu Mamdani fuzzy system: Universal approximator to a class of random processes IEEE Transactions on Fuzzy Systems 10 2002 756 766
    • (2002) IEEE Transactions on Fuzzy Systems , vol.10 , pp. 756-766
    • Liu, P.1
  • 18
    • 42649122303 scopus 로고    scopus 로고
    • Fuzzy classifier identification using decision tree and multiobjective evolutionary algorithms
    • DOI 10.1016/j.ijar.2007.10.004, PII S0888613X07001478
    • P. Pulkkinen, and H. Koivisto Fuzzy classifier identification using decision tree and multiobjective evolutionary algorithms International Journal of Approximate Reasoning 48 2008 526 543 (Pubitemid 351602157)
    • (2008) International Journal of Approximate Reasoning , vol.48 , Issue.2 , pp. 526-543
    • Pulkkinen, P.1    Koivisto, H.2
  • 22
    • 7044233048 scopus 로고    scopus 로고
    • Using Evolution Programs to Learn Local Similarity Measures
    • Case-Based Reasoning Research and Development
    • Stahl, A.; & Gabel, T. (2003). Using evolution programs to learn local similarity measures. In: Proceedings of the 5th international conference on case-based reasoning (pp. 537-551). (Pubitemid 36905856)
    • (2003) Lecture Notes in Computer Science , Issue.2689 , pp. 537-551
    • Stahl, A.1    Gabel, T.2
  • 24
    • 33749332766 scopus 로고    scopus 로고
    • Building similarity metrics reflecting utility in case-based reasoning
    • N. Xiong, and P. Funk Building similarity metrics reflecting utility in case-based reasoning Journal of Intelligent and Fuzzy Systems 17 2006 407 416 (Pubitemid 44496306)
    • (2006) Journal of Intelligent and Fuzzy Systems , vol.17 , Issue.4 , pp. 407-416
    • Xiong, N.1    Funk, P.2
  • 25
    • 0036888742 scopus 로고    scopus 로고
    • Reduction of fuzzy control rules by means of premise learning - Method and case study
    • DOI 10.1016/S0165-0114(02)00112-4, PII S0165011402001124
    • N. Xiong, and L. Litz Reduction of fuzzy control rules by means of precise learning - Method and case study Fuzzy Sets and Systems 132 2002 217 231 (Pubitemid 35290973)
    • (2002) Fuzzy Sets and Systems , vol.132 , Issue.2 , pp. 217-231
    • Xiong, N.1    Litz, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.