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Cost-Benefit Analysis and the Theory of Fuzzy Decisions: Identification and Measurement Theory (Studies in Fuzziness and Soft Computing) | |||||
Rok: 2004 AnotaceThis monograph is devoted to the identification and measurement theory of costs and benefits in a fuzzy information environment. The process of cost-benefit analysis is presented, requiring the development of real cost-benefit databases and the construction of cost-benefit criterion. These steps are accomplished with various theoretical constructs that provide sets of self-contained algorithms for application. This book integrates cost-benefit analysis, theory of fuzzy decisions and social decisions into unified decision algorithms accessible to practitioners, researchers, and graduate students. It features the essentials of fuzzy mathematics and algorithms in a comprehensive way, exposing a multi-disciplinary approach for the development of cost-benefit decision making in the framework of fuzziness and soft computing. Zdroj anotace: OKCZ - ANOTACE Z WEBU Dostupné zdroje
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