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Approximate reasoning based optimization.

Research output: Contribution to journalJournal article


<mark>Journal publication date</mark>1994
<mark>Journal</mark>Yugoslav Journal of Operations Research
Issue number1
Number of pages7
Pages (from-to)11-17
<mark>Original language</mark>English


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.