Titlebook: Recent Advances in Decision Making; Elisabeth Rakus-Andersson,Ronald R. Yager,Lakhmi C Book 2009 Springer-Verlag Berlin Heidelberg 2009 Al

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Discovering Associations with Uncertainty from Large Databases,tabases. As a specific form of knowledge, association reflects semantics in terms of relationships among attributes in databases, and has been widely studied recently. This chapter focuses on dealing with uncertainty in discovering association rules (AR) and functional dependencies (FD), and provide

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Dempster-Shafer Structures, Monotonic Set Measures and Decision Making,rmulating a decision process is pointed out. We provide a brief discussion of the case of probabilistic uncertainty. Next, in considerable detail, we discuss the case of decision making under ignorance. For this case the fundamental role of the attitude of the decision maker is noted and its subject

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Computational Intelligence in Medical Decisions Making,n provide a basis for human like reasoning in medical systems. Approximate reasoning is one of the most effective fuzzy systems. The compositional rule of inference founded on the logical law modus ponens is furnished with a true conclusion, provided that the premises of the rule are true as well. E

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Stefano Passinit relationships with different subordinates. Based on balance theory (Heider, The psychology of interpersonal relations, 1958), we propose that a mismatch may have more negative impact on subordinate outcomes than poor LMX. A sample of 100 matched dyads of leaders and members is studied to assess th

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Prospects for the Use of Hydrocyclones for Biological Separationsminary assessment of the degree of compatibility of biological samples with separation in hydrocyclone systems and describes the initial results of dense separations in a small hydrocyclone test rig originally designed for low shear liquid-liquid separations.