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Titlebook: Applied Decision Support with Soft Computing; Xinghuo Yu,Janusz Kacprzyk Book 2003 Springer-Verlag Berlin Heidelberg 2003 Planning.Technol

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https://doi.org/10.1007/978-3-662-25856-9d recognition is an important but difficult task in providing a comprehensive explanation for logging. A good recognition method can provide reliable evidence for building a standard of explanation in a region. Since there is much vagueness in the reservoir fluid recognition and there are considerab
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https://doi.org/10.1007/978-3-662-25856-9ost impossible to have a perfect knowledge of all the data taking part into a particular diet problem. Such uncertainty must be managed in some way and here is where the theory of fuzzy sets and systems can show all its power. We address a problem arising in Argentinean farms where the cattle is not
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https://doi.org/10.1007/978-3-540-37008-6Planning; Technologie; artificial neural network; decision making; decision support; decision support sys
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978-3-642-53534-5Springer-Verlag Berlin Heidelberg 2003
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Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/a/image/159772.jpg
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Structuring a Sentence: Word Orderained from the other agents and produce a rank-ordered list of students or job offers. The purpose of this paper is to present a technique to analyze and synthesize the decision information available in the market, based on fuzzy relational compositions first proposed by Bandler and Kohout. We deriv
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