Widjaja, Moeljono and Sugianto, Ly Fie (2002) Context-based fuzzy system for optimization. 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).
Full text not available from this repository.Abstract
Presents an approach to the development of an empirical fuzzy system for optimization, which is based on a contextual fuzzy filtering technique. The proposed system is based not on fuzzy rules, but rather on a set of empirical data to describe the functional dependence between the inputs and outputs. A detailed description of the fuzzy system including its structure and its main components (context variables, input and output membership functions) is provided and compared with conventional rule-based fuzzy systems. Additionally, a numerical example is also presented to illustrate the implementation of the proposed technique. The proposed approach is proven to be robust to uncertainties and has the ability to handle non-linearity.
| Item Type: | Article |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 18 Oct 2021 02:14 |
| Last Modified: | 18 Oct 2021 02:14 |
| URI: | https://kc.umn.ac.id/id/eprint/18827 |
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