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Item Details
| Title:
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COMPLEXITY MANAGEMENT IN FUZZY SYSTEMS
A RULE BASE COMPRESSION APPROACH |
| By: |
Alexander Gegov |
| Format: |
Hardback |
| List price:
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£135.00 |
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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: |
3540388834 |
| ISBN 13: |
9783540388838 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
8 January, 2007 |
| Edition: |
2007 ed. |
| Series: |
Studies in Fuzziness and Soft Computing 211 |
| Pages: |
349 |
| Description: |
Presents a systematic study on the inherent complexity in fuzzy systems, resulting from the large number and the poor transparency of the fuzzy rules. This title uses a novel approach for complexity management, intends at compressing the fuzzy rule base by removing the redundancy while preserving the solution. |
| Synopsis: |
This book presents a systematic study on the inherent complexity in fuzzy systems, resulting from the large number and the poor transparency of the fuzzy rules. The study uses a novel approach for complexity management, aimed at compressing the fuzzy rule base by removing the redundancy while preserving the solution. The compression is based on formal methods for presentation, manipulation, transformation and simplification of fuzzy rule bases. |
| Illustrations: |
67 Tables, black and white; XV, 349 p. |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |
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