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Approximate Reasoning Based Optimization
Yugoslav journal of operations research, Tome 4 (1994) no. 1, p. 11 Cet article a éte moissonné depuis la source eLibrary of Mathematical Institute of the Serbian Academy of Sciences and Arts

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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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     author = {Plamen P. Angelov},
     title = {Approximate {Reasoning} {Based} {Optimization}},
     journal = {Yugoslav journal of operations research},
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     year = {1994},
     volume = {4},
     number = {1},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/YJOR_1994_4_1_a1/}
}
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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/