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Volumn 124, Issue , 2006, Pages 581-586

An approach for generating fuzzy rules from decision trees

Author keywords

Breast Cancer; Decision Tree Induction; Distant Metastasis; Fuzzy Set Theory

Indexed keywords

DATA MINING; DECISION THEORY; DECISION TREES; DISEASES; FUZZY INFERENCE; FUZZY RULES; MEMBERSHIP FUNCTIONS; TENSORS;

EID: 39049191838     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (16)
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    • Tejler, G.1    Norberg, B.2    Dufmats, M.3    Nordenskjold, B.4
  • 2
    • 0037461021 scopus 로고    scopus 로고
    • Effective dimension reduction methods for tumor classification using gene expression data
    • Antoniadis A, Lambert-Lacroix S, Leblanc F. Effective dimension reduction methods for tumor classification using gene expression data. Bioinformatics 2003;19(5):563-70
    • (2003) Bioinformatics , vol.19 , Issue.5 , pp. 563-570
    • Antoniadis, A.1    Lambert-Lacroix, S.2    Leblanc, F.3
  • 3
    • 44949122001 scopus 로고    scopus 로고
    • Canonical correlation analysis for data reduction in data mining applied to predictive models for breast cancer recurrence
    • Razavi AR, Gill H, Ahlfeldt H, Shahsavar N. Canonical correlation analysis for data reduction in data mining applied to predictive models for breast cancer recurrence. Stud Health Technol Inform 2005;116:175-80
    • (2005) Stud Health Technol Inform , vol.116 , pp. 175-180
    • Razavi, A.R.1    Gill, H.2    Ahlfeldt, H.3    Shahsavar, N.4
  • 7
    • 72449185049 scopus 로고    scopus 로고
    • Neuro-fuzzy and soft computing: A computational approach to learning and machine intelligence
    • NJ, USA: Prentice-Hall, Inc.;
    • Jang JSR, Sun CT. Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence. Upper Saddle River, NJ, USA: Prentice-Hall, Inc.; 1997
    • (1997) Upper Saddle River
    • Jsr, J.1    Sun, C.T.2
  • 10
    • 0036254780 scopus 로고    scopus 로고
    • Assessment of nodal involvement and survival analysis in breast cancer patients using image cytometric data: Statistical, neural network and fuzzy approaches
    • Seker H, Odetayo MO, Petrovic D, Naguib RN, Bartoli C, Alasio L, et al. Assessment of nodal involvement and survival analysis in breast cancer patients using image cytometric data: statistical, neural network and fuzzy approaches. Anticancer Research 2002;22(1A):433-8
    • (2002) Anticancer Research , vol.22 , Issue.1 A , pp. 433-438
    • Seker, H.1    Odetayo, M.O.2    Petrovic, D.3    Naguib, R.N.4    Bartoli, C.5    Alasio, L.6
  • 12
    • 0002900899 scopus 로고
    • Biological applications of the theory of Fuzzy sets and systems
    • 1969; Boston: Little, Brown & Co.
    • Zadeh LA. Biological applications of the theory of Fuzzy sets and systems. In: Int. Symp. Biocybernetics of the Central Nervous System; 1969; Boston: Little, Brown & Co.; 1969. p. 199-212
    • (1969) Int. Symp. Biocybernetics of the Central Nervous System , pp. 199-212
    • Zadeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.