Angelov, Plamen (1994) A generalized approach to fuzzy optimization. International Journal of Intelligent Systems, 9 (3). pp. 261-268.
Full text not available from this repository.Abstract
A new approach to fuzzy optimization based on the generalization of Bellman-Zadeh's (BZ) concept is proposed in this article. It consists of a parametric generalization of intersection of fuzzy sets and a generalized defuzzification method. This approach allows the solving of a fuzzy mathematical programming (FMP) problem without transformation to a crisp one. It takes into account all possible fuzzy decisions and allows the degree of conjunction of criteria and constraints to vary. BZ method can be considered a special case of the approach proposed here. A simple algorithm for noniterative solving FMP problem is proposed whereas well-known Zimmermann's approach uses numerical methods. an illustrative example is presented. © 1994 John Wiley & Sons, Inc.
| Item Type: | Article |
|---|---|
| Journal or Publication Title: | International Journal of Intelligent Systems |
| Uncontrolled Keywords: | Add DCS-publications-id ; art-559 ; Add DCS-publications-personnel-id ; 82 |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Departments: | Faculty of Science and Technology > School of Computing & Communications |
| ID Code: | 913 |
| Deposited By: | Dr. Plamen Angelov |
| Deposited On: | 09 Jan 2008 09:45 |
| Refereed?: | Yes |
| Published?: | Published |
| Last Modified: | 26 Jul 2012 18:32 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/913 |
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