Abstract
The management of complexity in fuzzy systems relies on the basic properties of fuzzy rule bases. These properties reflect the extent to which of the permutations of linguistic values of inputs and outputs are available as well as the type of mapping between the permutations of linguistic values of the inputs in the antecedent part of the rule base and the corresponding permutations of linguistic values of the outputs in the consequent part.
Original language | English |
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Title of host publication | Complexity Management in Fuzzy Systems |
Subtitle of host publication | A Rules Base Compression Approach |
Publisher | Springer |
Chapter | 4 |
Pages | 33-63 |
Number of pages | 31 |
Edition | 1st |
ISBN (Electronic) | 9783540388852 |
ISBN (Print) | 3540388834, 9783540388838 |
DOIs | |
Publication status | Published - 2 Jun 2007 |
Publication series
Name | Studies in Fuzziness and Soft Computing |
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Volume | 211 |
ISSN (Print) | 1434-9922 |
ISSN (Electronic) | 1860-0808 |