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Approximate reasoning based optimization.

Angelov, Plamen (1994) Approximate reasoning based optimization. Yugoslav Journal of Operations Research, 4 (1). pp. 11-17. ISSN 0354-0243

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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: 21 Mar 2014 09:55
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/27107

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