New concepts for fuzzy partitioning, defuzzification and derivation of probabilistic fuzzy decision trees

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Volumn 2003-January, Issue , 2003, Pages 484-487

  Baldwin, J F ^a   Karale, S B ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

Clustering algorithms; Databases; Decision making; Decision trees; Entropy; Fuzzy sets; Mathematics; Optimization methods; Partitioning algorithms; Testing

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; DECISION MAKING; DECISION TREES; ENTROPY; FUZZY SETS; INFORMATION SCIENCE; MATHEMATICAL TECHNIQUES; PROBABILITY DISTRIBUTIONS; TESTING; TREES (MATHEMATICS);

CONTINUOUS VARIABLES; DEFUZZIFICATIONS; FUZZY DECISION TREES; FUZZY PARTITIONING; MASS ASSIGNMENTS; OPTIMIZATION METHOD; PARTITIONING ALGORITHMS; PREDICTION PROBLEM;

CLUSTERING ALGORITHMS;

EID: 33847696785     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAFIPS.2003.1226833     Document Type: Conference Paper

References (4)

1. J.F. Baldwin, J. Lawry, and T. P. Martin, "A Mass Assignment Based ID3 Algorithm for Decision Tree Induction", International Journal of Intelligent Systems, 12 (1997), pp. 523-552
2. Quinlan, J.R., C4.5: Programs for Machine Learning, San Mateo, Morgan Kaufmann Publishers (1993)
3. J.F. Baldwin, and S.B. Karale, "Asymmetric triangular fuzzy sets for classification models", Lecture notes in AI, to appear
4. Baldwin, J.F., T. P. Martin, and B. W. Pilsworth, FRIL-Fuzzy and Evidential Reasoning in A.I., Research Studies Press, Wiley, New York (1995)