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Titlebook: Intelligent Decision and Policy Making Support Systems; Ruan,Frank Hardeman,Klaas Meer Book 2008 Springer-Verlag Berlin Heidelberg 2008 Co

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Enrico Zio,Piero Baraldi,Irina Crenguta Popescut, d.h. sie erfüllt . der beiden Kriterien für Operationalisierbarkeit, die im Sinne traditioneller Wissenschaftstheorie manchmal mehr, manchmal weniger stillschweigend angenommen werden. Aus diesem Grund tritt sie weder bei der Beobachtung der Natur noch bei ihrer Beschreibung, so wie beide bislang
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Jun Liu,Luis Martínez López,Jian-Bo Yang,Jin Wangt, d.h. sie erfüllt . der beiden Kriterien für Operationalisierbarkeit, die im Sinne traditioneller Wissenschaftstheorie manchmal mehr, manchmal weniger stillschweigend angenommen werden. Aus diesem Grund tritt sie weder bei der Beobachtung der Natur noch bei ihrer Beschreibung, so wie beide bislang
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Risk Modeling for Policy Making,ives. Tools for evaluating rule based decision functions in the face of perception based uncertainty profiles are presented. We suggest a more intuitive and human friendly way of describing uncertainty profiles is in terms of a perception based granular cumulative probability distribution function.
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Fuzzy Logic Approaches to Consensus Modelling in Group Decision Making,the context of fuzzy GDM. First, the problem of modelling consensus under individual fuzzy preferences is considered, and two different models are synthesized. The first one is static and is based on the algebraic aggregation of the individual preferences aiming to find a consensus defined as the de
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An Intelligent Decision Support System Based on Machine Learning and Dynamic Track of Psychologicaliterion can be estimated by a learning algorithm. In this way, the most satisfactory decision for the local made by the decision maker at each level can be tracked. If we let the collection of satisfactory decision for global be the union of the local’s most satisfactory decision at all levels, then
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Linguistic Assessment Approach for Hierarchical Safety Analysis and Synthesis,inal fuzzy linguistic approach by means of a direct computation on linguistic values instead of the approximation approach by their associated membership functions. The use of the ordinal fuzzy linguistic approach makes the safety analysis more effective. Subsequently, the ranking and interpretation
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