Construction of fuzzy if-then rules by clustering and fuzzy decision tree learning.
Main Article Content
Abstract
In this paper we propose the method of constructing fuzzy if-then'rules f ro m a
set of input-output data. This method consists of two steps. We first construct fuzzy sets
covering input and output spaces by clustering. Then applying decision tree learning algor ithm
with some suitable changes we construct the fuzzy decision tree. Prom this tree we can generate
fuzzy if-then rules
set of input-output data. This method consists of two steps. We first construct fuzzy sets
covering input and output spaces by clustering. Then applying decision tree learning algor ithm
with some suitable changes we construct the fuzzy decision tree. Prom this tree we can generate
fuzzy if-then rules
References
1. M. Ester, H. p. Kriegel, J. Sander, and X. Xu. A density-based algorithm for
discovering clusters in large spatial databases, Proceedings o f 2nd Int. Conf. on Knowledge Discovery and Data Mining, Portland, OR, Aug., 1996, pp.226-231.
2. J. Han and M. Kamber. Data Mining: Concepts and Techniques, Morgan Kaufmann, Publishers, San Francisco, 2001, 550p.
3. c. T. Lin. Neural fuzzy control systems with structure and Parameter Learning, World Scientific, Singapore, 1994, 318p.
4. T, M. Mitchell. Machine Learning, McGraw-Hill, Inc., 1997, 414p.
5. L. X. Wang and J. M. Mendel. Generating fuzzy rules by learning from examples, IEEE Trans. On Systems, Man, and Cybern., 22(6), 1992, pp. 161-170.
(>. L. X. Wang. A course in Fuzzy Systems and Control, Prentice-Hall Int., Inc., 1997,424p.
discovering clusters in large spatial databases, Proceedings o f 2nd Int. Conf. on Knowledge Discovery and Data Mining, Portland, OR, Aug., 1996, pp.226-231.
2. J. Han and M. Kamber. Data Mining: Concepts and Techniques, Morgan Kaufmann, Publishers, San Francisco, 2001, 550p.
3. c. T. Lin. Neural fuzzy control systems with structure and Parameter Learning, World Scientific, Singapore, 1994, 318p.
4. T, M. Mitchell. Machine Learning, McGraw-Hill, Inc., 1997, 414p.
5. L. X. Wang and J. M. Mendel. Generating fuzzy rules by learning from examples, IEEE Trans. On Systems, Man, and Cybern., 22(6), 1992, pp. 161-170.
(>. L. X. Wang. A course in Fuzzy Systems and Control, Prentice-Hall Int., Inc., 1997,424p.