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: Journal Article
Journal or Publication Title: Yugoslav Journal of Operations Research
Uncontrolled Keywords: /dk/atira/pure/researchoutput/libraryofcongress/qa75
Subjects:
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 27107
Deposited By: Dr. Plamen Angelov
Deposited On: 30 Sep 2009 15:15
Refereed?: Yes
Published?: Published
Last Modified: 01 Jan 2020 06:43
URI: https://eprints.lancs.ac.uk/id/eprint/27107

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