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Volumn 2711, Issue , 2003, Pages 370-381

On the induction of different kinds of first-order fuzzy rules

Author keywords

Confidence degree; Fuzzy rule; Inductive logic programming

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; KNOWLEDGE BASED SYSTEMS; LOGIC PROGRAMMING; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; PROBABILITY; FORMAL LOGIC; FUZZY RULES; INDUCTIVE LOGIC PROGRAMMING (ILP);

EID: 8344276733     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-45062-7_30     Document Type: Conference Paper
Times cited : (5)

References (18)
  • 4
    • 0010729966 scopus 로고    scopus 로고
    • Learning fuzzy decision rules
    • Fuzzy Sets in Approximate Reasoning and Information Systems,(J.C. Bezdek, D. Dubois, H. Prade, eds.), Kluwer Academic Publishers
    • B. Bouchon-Meunier and C. Marsala. Learning fuzzy decision rules, in. Fuzzy Sets in Approximate Reasoning and Information Systems,(J.C. Bezdek, D. Dubois, H. Prade, eds.), The Handbooks of Fuzzy Sets Series. Kluwer Academic Publishers, 1999, 279-304.
    • (1999) The Handbooks of Fuzzy Sets Series , pp. 279-304
    • Bouchon-Meunier, B.1    Marsala, C.2
  • 6
    • 0030577310 scopus 로고    scopus 로고
    • What are fuzzy rules and how to use them
    • D. Dubois and H. Prade. What are fuzzy rules and how to use them. Fuzzy Sets and Systems, 84(2):169-189, 1996.
    • (1996) Fuzzy Sets and Systems , vol.84 , Issue.2 , pp. 169-189
    • Dubois, D.1    Prade, H.2
  • 8
    • 0025535649 scopus 로고
    • An analysis of first-order logics of probability
    • J. Halpern. An analysis of first-order logics of probability. Artificial Intelligence, 46:310-355, 1990.
    • (1990) Artificial Intelligence , vol.46 , pp. 310-355
    • Halpern, J.1
  • 11
    • 77951503082 scopus 로고
    • Inverse entailment and Progol
    • S.H. Muggleton. Inverse entailment and Progol. New Generation Computing, 13:245-286, 1995.
    • (1995) New Generation Computing , vol.13 , pp. 245-286
    • Muggleton, S.H.1
  • 13
    • 0012839006 scopus 로고    scopus 로고
    • Neuro-fuzzy methods in fuzzy rule generation
    • Fuzzy Sets in Approximate Reasoning and Information Systems,(J.C. Bezdek, D. Dubois, H. Prade, eds.), Kluwer Acad. Pub
    • D. Nauck and R. Kruse. Neuro-fuzzy methods in fuzzy rule generation, in. Fuzzy Sets in Approximate Reasoning and Information Systems,(J.C. Bezdek, D. Dubois, H. Prade, eds.), The Handbooks of Fuzzy Sets Series. Kluwer Acad. Pub., 1999, 305-334.
    • (1999) The Handbooks of Fuzzy Sets Series , pp. 305-334
    • Nauck, D.1    Kruse, R.2
  • 16
    • 33744584654 scopus 로고
    • Induction of decision trees
    • J. R. Quinlan. Induction of decision trees. Machine Learning, 1(1):81-106, 1986.
    • (1986) Machine Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.R.1
  • 17
    • 0001172265 scopus 로고
    • Learning logical definitions from relations
    • J. R. Quinlan. Learning logical definitions from relations. Machine Learning, 5:239-266, 1990.
    • (1990) Machine Learning , vol.5 , pp. 239-266
    • Quinlan, J.R.1
  • 18
    • 0027003752 scopus 로고
    • Learning relations by pathfinding
    • San Jose. AAAI Press
    • B.L. Richards and R.J. Mooney. Learning relations by pathfinding. In Proc. of the AAAI conference, pages 50-55, San Jose, 1992. AAAI Press.
    • (1992) Proc. of the AAAI Conference , pp. 50-55
    • Richards, B.L.1    Mooney, R.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.