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Titlebook: Integrated Uncertainty in Knowledge Modelling and Decision Making; International Sympos Zengchang Qin,Van-Nam Huynh Conference proceedings

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Hong-Bin Yan,Tieju Ma,Van-Nam Huynh Diagnose zu schützen, ist daher in erster Linie die Berücksichtigung aller von der Norm abweichenden Erscheinungen notwendig, die sich bei der Besichtigung und Untersuchung des Augapfels ergeben. Das Auge ist nun ein Sinneswerkzeug, das aus zahlreichen Geweben verschiedener histologischer und biolo
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Wafa Laâmari,Boutheina Ben Yaghlane,Christophe Simon Diagnose zu schützen, ist daher in erster Linie die Berücksichtigung aller von der Norm abweichenden Erscheinungen notwendig, die sich bei der Besichtigung und Untersuchung des Augapfels ergeben. Das Auge ist nun ein Sinneswerkzeug, das aus zahlreichen Geweben verschiedener histologischer und biolo
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0302-9743 onal Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2013, held in Beijing China, in July 2013. The 19 revised full papers were carefully reviewed and selected from 49 submissions and are presented together with keynote and invited talks. The papers provide a weal
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Conference proceedings 2013M 2013, held in Beijing China, in July 2013. The 19 revised full papers were carefully reviewed and selected from 49 submissions and are presented together with keynote and invited talks. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertai
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Robot Reasoning Using First Order Bayesian Networks,on to be performed in a specific game situation. Further intricacies of this scenario have been discussed to thoroughly assess the effectiveness of first-order Bayesian network in the domain of RoboCup Soccer and it is found to provide the essential expressive power required to facilitate decision-making in such complex, stochastic domains.
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A Probabilistic Model for Prioritizing Engineering Design Requirements in Uncertain QFD,re is used to illuminate the proposed technique and to compare with the previous techniques. This approach enhances the fuzzy-computation-based models proposed in the previous studies by eliminate the burden of quantifying qualitative concepts.
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