PPT-Decision-Making Under Uncertainty

Author : radions | Published Date : 2020-06-22

Overview Two models of decisionmaking under uncertainty Nondeterministic uncertainty Probabilistic uncertainty In particular what is the rational action in the presence

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Decision-Making Under Uncertainty: Transcript


Overview Two models of decisionmaking under uncertainty Nondeterministic uncertainty Probabilistic uncertainty In particular what is the rational action in the presence of repeated states Game Playing Review. Deciding Between Job Offers. Company A. In a new industry that could boom or bust.. Low starting salary, but could increase rapidly.. Located near friends, family and favorite sports team. .. Company B. Making Uncertainty Valuable not Risky. About KCA. Management Consultancy focused on Energy, Technology, and Related Markets.. Work with clients to develop and implement game-changing strategies, improve operational efficiencies, and reduce costs through long-term competitive advantage.. under . uncertainty I.. . On the one hand rational choice under uncertainty is . impossible, on . the other hand it is either impossible not to choose in the . face of . uncertainty, as the very non-choice then also becomes a way . Prof. Dr. . . Y. İlker TOPCU. www.ilkertopcu.. net. . www.. ilkertopcu. .org. . www.. ilkertopcu. .. info. facebook.com/. yitopcu. . twitter.com/. yitopcu. instagram.com/. yitopcu. Credits: 3+0. SYSTEMS. Decision Support Software. Reasons for the growth of decision-making information systems. People need to analyze large amounts of information. People must make decisions quickly. People must apply sophisticated analysis techniques, such as modeling and forecasting, to make good decisions. Lauren . Reinerman. -Jones, Grace . Teo. , and . Avonie. Parchment. “Why do leaders fail? They make poor choices that lead to bad decisions. And in some cases they compound bad decision upon bad decision. You cannot separate leadership from . Chathuri Senarath. Senior Lecturer- University of . Kelaniya. Decision makers need to understand that they operate with uncertain futuristic information which in turn is likely to make their decision risky (due to inaccurate information taken in decision making). . 6. Introduction. A formal . framework for analyzing decision problems that involve . uncertainty includes:. Criteria . for choosing among alternative . decisions. How probabilities are used in the decision-making . Statin Choice Decision Aid Share-Decision Making SCIP Shared Decision Making Shared Decision Making Glasziou and Haynes ACP JC 2005 Promote a process where patients and clinicians make a choice together. Richard Judson. U.S. EPA, National Center for Computational Toxicology. Office of Research and Development. The views expressed in this presentation are those of the author and do not necessarily reflect the views or policies of the U.S. EPA. ABSTRACT. OBJECTIVES AND DEVELOPMENT. RESULTS. The images below shows the Fuzzy Result in IFMG Higher Courses Evaluation:. http://develop.coipe.com.br/smartfuzzy/. The table at the right shows the. Neil Harrison. University of Sussex. Formerly: Institute of Cognitive Neuroscience . & Wellcome Trust Centre for Neuroimaging. Multiple decision making systems. What happens when one or other breaks down?. 1. ERiMA. : . Envisioning Risk Models for Assessment of AI-based applications.. 2. Dr Huma Samin. 1. Post Doctoral Research Associate Computer Science. Durham University, UK. huma.samin@durham.ac.uk. Understanding Probabilistic Weather Information. September 12, 2014. SAS 2014 Spring Open Recommendation. Finding: . Information about the likelihood of predicted weather events has the potential to lead to better operational decisions by airline...

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