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Volumn 1, Issue , 2003, Pages 714-719

Weighted linguistic modelling based on fuzzy subsethood values

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; DECISION THEORY; LINGUISTICS; MATHEMATICAL MODELS;

EID: 0037523365     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (13)
  • 2
    • 0012280862 scopus 로고    scopus 로고
    • A new method for generating fuzzy rules from numerical data for handling classification problems
    • Chen, S.M., Lee, S.H. and Lee, C.H. (2001). A New Method for Generating Fuzzy Rules from Numerical Data for Handling Classification Problems. Applied Artificial Intelligence, 15: 645-664.
    • (2001) Applied Artificial Intelligence , vol.15 , pp. 645-664
    • Chen, S.M.1    Lee, S.H.2    Lee, C.H.3
  • 3
    • 0037119219 scopus 로고    scopus 로고
    • Fuzzy classification trees for data analysis
    • Chiang, I. J. and Hsu Y. J. (2002). Fuzzy Classification Trees for Data Analysis. Fuzzy Sets and Systems, 130: 87-99.
    • (2002) Fuzzy Sets and Systems , vol.130 , pp. 87-99
    • Chiang, I.J.1    Hsu, Y.J.2
  • 4
    • 0030577310 scopus 로고    scopus 로고
    • What are fuzzy rules and how to use them
    • Dubois, D. and Prade, H. (1996). What Are Fuzzy Rules and How to Use Them. Fuzzy Sets and Systems, 84: 169-185.
    • (1996) Fuzzy Sets and Systems , vol.84 , pp. 169-185
    • Dubois, D.1    Prade, H.2
  • 5
    • 0038461257 scopus 로고
    • Unpublished Technical Report, Department of Computer Science and Artificial Intelligence, Universidad de Granada
    • Herera, F. and Herera-Viedma, E. (1995). Aggregation Operators for Weighted Linguistic Information, Unpublished Technical Report, Department of Computer Science and Artificial Intelligence, Universidad de Granada.
    • (1995) Aggregation Operators for Weighted Linguistic Information
    • Herera, F.1    Herera-Viedma, E.2
  • 6
    • 0030289773 scopus 로고    scopus 로고
    • Induction of fuzzy rules and membership functions from training examples
    • Hong, T.P. and Lee, C.Y. (1996). Induction of Fuzzy Rules and Membership Functions from Training Examples. Fuzzy Sets and Systems, 84(1): 33-47.
    • (1996) Fuzzy Sets and Systems , vol.84 , Issue.1 , pp. 33-47
    • Hong, T.P.1    Lee, C.Y.2
  • 10
    • 0034207737 scopus 로고    scopus 로고
    • A modular approach to generating fuzzy rules with reduced attributes for the monitoring of complex systems
    • Shen, Q. and Chouchoulas, A. (2000). A Modular Approach to Generating Fuzzy Rules with Reduced Attributes for the Monitoring of Complex Systems. Engineering Applications of Artificial Intelligence, 13 (3): 263-278.
    • (2000) Engineering Applications of Artificial Intelligence , vol.13 , Issue.3 , pp. 263-278
    • Shen, Q.1    Chouchoulas, A.2
  • 12
  • 13
    • 0000868331 scopus 로고
    • Induction of fuzzy decision trees
    • Yuan, Y. and Shaw, M.J. (1995). Induction of Fuzzy Decision Trees. Fuzzy Set and Systems, 69(2): 125-139.
    • (1995) Fuzzy Set and Systems , vol.69 , Issue.2 , pp. 125-139
    • Yuan, Y.1    Shaw, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.