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Approximate reasoning based optimization.

Research output: Contribution to journalJournal article


Journal publication date1994
JournalYugoslav Journal of Operations Research
Number of pages7
Original languageEnglish


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.