Fuzziness and performance: An empirical study with linguistic decision trees

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4529 LNAI, Issue , 2007, Pages 407-416

  Qin, Zengchang ^a   Lawry, Jonathan ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DATABASE SYSTEMS; DECISION TREES; FUZZY SETS; MEMBERSHIP FUNCTIONS; UNCERTAINTY ANALYSIS;

FUZZY LABELS; NAIVE BAYES;

LINGUISTICS;

EID: 37249049937     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72950-1_40     Document Type: Conference Paper

References (9)

1. C. Blake and C.J. Merz. UCI machine learning repository, http://www.ics.uci.edu/~mlearn/MLRepository.html.
2. J. Lawry, Modelling and Reasoning with Vague Concepts, Springer, 2006.
3. C. Olaru and L. Wehenkel, A complete fuzzy decision tree technique, Fuzzy Sets and Systems, Vol. 138: pp.221-254, 2003.
4. Z. Qin and J. Lawry. Decision tree learning with fuzzy labels, Information Sciences, Vol. 172/1-2, pp. 91-129, 2005.
5. J. R. Quinlan. Induction of decision trees, Machine Learning 1: 81-106. 1986
6. J. R. Quinlan, Decision trees at probabilistic classifiers, Proceeding of 4th International Workshop on Machine Learning, pp. 31-37, Morgan Kauffman, 1987.
7. J. R. Quinlan. C4.5: Programs for Machine Learning. San Mateo: Morgan Kaufmann, 1993.
8. P. Wang, Interpretations on fuzziness, IEEE Transactions on Systems, Man and Cybernetics, Part B, Vol 26(2): 321-326, 1996.
9. L. A. Zadeh, Fuzzy sets, Information and Control, Vol 8: pp. 338-353, 1965.