Interpretability Improvements to Find the Balance Interpretability-Accuracy in Fuzzy Modeling: An Overview-Reference-Cited by-同舟云学术

Interpretability Improvements to Find the Balance Interpretability-Accuracy in Fuzzy Modeling: An Overview

Published:2003 Issue: Volume: Page:3-22
ISSN:1434-9922
Container-title:Interpretability Issues in Fuzzy Modeling
language:
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Author:

Casillas Jorge,Cordón Oscar,Herrera Francisco,Magdalena Luis

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-37057-4_1

Reference78 articles.

1. R. Alcalá, J. Casillas, O. Cordon, and F. Herrera. Building fuzzy graphs: features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems. To appear in Journal of Intelligent and Fuzzy Systems. Draft version available at http://decsai.ugr.es /~casillas/.

2. R. Babuška. Fuzzy modeling for control. Kluwer Academic, Norwell, MA, USA, 1998.

3. R. Babuška, H. Bersini, D.A. Linkens, D. Nauck, G. Tselentis, and O. Wolkenhauer. Future prospects for fuzzy systems and technology. ERUDIT Newsletter Vol. 6, No. 1 . Aachen, Germany, 2000. Available at http://www.erudit.de/erudit/newsletters/news_61/page5.htm .

4. A. Bastian. How to handle the flexibility of linguistic variables with applications. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2(4):463–484, 1994.

5. M. Bikdash. A highly interpretable form of Sugeno inference systems. IEEE Transactions on Fuzzy Systems, 7(4686–696, 1999.

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