Angelov, Plamen (1994) Approximate reasoning based optimization. Yugoslav Journal of Operations Research, 4 (1). pp. 11-17. ISSN 0354-0243
Full text not available from this repository.Abstract
A new approach to fuzzy optimization is proposed. It is based on application of approximate reasoning categories in order to obtain a more flexible representation of logical aggregation and defuzzification. It allows to design a non-iterative algorithm for fuzzy optimization which surpass the well-known Zimmermann's approach. Bellman-Zadeh' s method can be considered as a special case of the approach proposed here. An illustrative example is presented.
| Item Type: | Article |
|---|---|
| Journal or Publication Title: | Yugoslav Journal of Operations Research |
| Uncontrolled Keywords: | approximate reasoning ; fuzzy optimization ; aggregation ; defuzzification |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Departments: | Faculty of Science and Technology > School of Computing & Communications |
| ID Code: | 27107 |
| Deposited By: | Dr. Plamen Angelov |
| Deposited On: | 30 Sep 2009 16:15 |
| Refereed?: | Yes |
| Published?: | Published |
| Last Modified: | 26 Jul 2012 16:39 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/27107 |
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