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:

?? APPROXIMATE REASONINGFUZZY OPTIMIZATIONAGGREGATIONDEFUZZIFICATIONINDUSTRIAL AND MANUFACTURING ENGINEERINGQA75 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 15:15

Refereed?:

Yes

Published?:

Published

Last Modified:

18 Sep 2023 00:13

URI:

https://eprints-dev.lancs.ac.uk/id/eprint/27107