Weighted MCRDR: Deriving Information about Relationships between Classifications in MCRDR-Reference-Cited by-同舟云学术

Weighted MCRDR: Deriving Information about Relationships between Classifications in MCRDR

Published:2003 Issue: Volume: Page:245-255
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Dazeley Richard,Kang Byeong-Ho

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-24581-0_21

Reference16 articles.

1. Kang, B.H.: Validating Knowledge Acquisition: Multiple Classification Ripple Down Rules. University of New South Wales, Sydney (1996)

2. Kang, B.H., Compton, P., Preston, P.: Multiple Classification Ripple Down Rules: Evaluation and Possibilities. In: The 9th Knowledge Acquisition for Knowledge Based Systems Workshop, Department of Computer Science, University of Calgary, SRDG Publications, Banff (1995)

3. Lecture Notes in Artificial Intelligence;R. Martínez-Béjar,1999

4. Compton, P., Jansen, R.: A philosophical basis for knowledge acquisition. Knowledge Acquisition 2, 241–257 (1990)

5. Kang, B.H., Preston, P., Compton, P.: Simulated Expert Evaluation of Multiple Classification Ripple Down Rules. In: Eleventh Workshop on Knowledge Acquisition, Modeling and Management, Voyager Inn, Banff, Alberta, Canada (1998)

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