Abstract
In this paper, we propose the hybridization of both hierarchical and weighted linguistic fuzzy rules to derive Hierarchical Systems of Weighted Linguistic Rules. To do so, an evolutionary optimization process jointly performing a rule selection and the derivation of rule weights is developed.
Original language | English |
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Pages | 812-816 |
Number of pages | 5 |
State | Published - Jan 1 2002 |
Event | Applied Computing 2002: Proceeedings of the 2002 ACM Symposium on Applied Computing - Madrid, Spain Duration: Mar 11 2002 → Mar 14 2002 |
Conference
Conference | Applied Computing 2002: Proceeedings of the 2002 ACM Symposium on Applied Computing |
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Country/Territory | Spain |
City | Madrid |
Period | 03/11/02 → 03/14/02 |
Keywords
- Extended linguistic modeling
- Genetic algorithms
- Hierarchical fuzzy systems
- Weighted fuzzy rules