Learning Fuzzy Decision Rules-Reference-Cited by-同舟云学术

Learning Fuzzy Decision Rules

Published:1999 Issue: Volume: Page:279-304
ISSN:1388-4352
Container-title:Fuzzy Sets in Approximate Reasoning and Information Systems
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Author:

Bouchon-Meunier Bernadette,Marsala Christophe

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-1-4615-5243-7_5.pdf

Reference79 articles.

1. Aladenise N. and Bouchon-Meunier B., (1997). Acquisition de connaissances imparfaites: mise en évidence d’une fonction d’appartenance, Revue Internationale de Systémique, 11(1): 109–127.

2. Araya R., (1994). Induction of Decision Trees when Examples are Described with Noisy Measurements and with Fuzzy Class Membership. INRIA seminar, CLOREC Project.

3. Bäck T. and Kursawe F., (1994). Evolutionary Algorithms for Fuzzy Logic: a Brief Overview, Proceedings of the 5th International Conference IPMU, 659–664.

4. Batur C. and Kasparian., (1991), Adaptative Approach to Implication for Approximate Reasoning with Fuzzy Logic, Fuzzy Sets and Systems, 3:193–219.

5. Berenji H., (1998). Learning and Tuning Fuzzy Rules, Fuzzy Systems: Modeling and Control, Nguyen and Sugeno (eds), Chap 11, The Handbook of Fuzzy Sets, Kluwer; 291–310.

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