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Item Details
| Title:
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INTERPRETABILITY ISSUES IN FUZZY MODELING
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| By: |
J. Casillas (Editor), Oscar Cordon (Editor), F. Herrera (Editor) |
| Format: |
Hardback |
| List price:
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£249.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
354002932X |
| ISBN 13: |
9783540029328 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
4 June, 2003 |
| Edition: |
2003 ed. |
| Series: |
Studies in Fuzziness and Soft Computing 128 |
| Pages: |
643 |
| Synopsis: |
Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic classification, long-term prediction, or medical and engineering analysis. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy. This approach usually sets aside the interpretability of the obtained models. However, we should remember the initial philosophy of fuzzy sets theory directed to serve the bridge between the human understanding and the machine processing. In this challenge, the ability of fuzzy models to express the behavior of the real system in a comprehensible manner acquires a great importance. This book collects the works of a group of experts in the field that advocate the interpretability improvements as a mechanism to obtain well balanced fuzzy models. |
| Illustrations: |
XIV, 643 p. |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |
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