Geodesic
Approximate Reasoning Based Optimization
Yugoslav journal of operations research, Tome 4 (1994) no. 1, p. 11 .

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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.
Keywords: approximate reasoning, fuzzy optimization, aggregation, defuzzification 
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Plamen P. Angelov. Approximate Reasoning Based Optimization. Yugoslav journal of operations research, Tome 4 (1994) no. 1, p. 11 . http://geodesic.mathdoc.fr/item/YJOR_1994_4_1_a1/