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The last decade has experienced major societal challenges at the intersection of technological systems and policy making. Prevalent examples are the liberalization of energy and telecommunications markets, the public aversion towards nuclear power plants, the development of high-speed trains, the debates about global warming and sustainability, the development of intelligent vehicle systems, and the controversies concerning the location of waste depositories, airports, and energy systems. These challenges, coupled with the call from industry for a systems-engineering oriented approach to policy analysis, motivated Delft University of Technology to launch the first European School of Systems Engineering, Policy Analysis. and Management (SEPA). The purpose was to educate engineering oriented policy analysts in bridging the gap between engineering systems and policy decision making processes, both for the public and private sector. Up to now, more than 500 first-year students and 30 Ph.D. students have enrolled in the program. In 1993, I set up a class called Quantitative Methods for Problem Solving which had to address the most relevant issues in decision making for policy management, such as linear and non-linear optimization, multiattribute utility theory, multicriteria decision making, concepts from game theory, outranking relations, and probabilistic influence diagrams.
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Preface. Introduction. I. The Problem Solving Process. II. The Analytic Modeling Process. III. Descriptive Assessment - Criteria and Weights. IV. Descriptive Assessment - Alternatives and Ranking. V. Values and Normative Choice. VI. Choices Under Uncertainty. VII. Uncertainty and Normative Choice. VIII. Sequential Decision Making. IX. Multi-Actor Decision Making. X. Constraint-Based Policy Optimization. Solutions to Problems. References. Symbol Index. Subject Index.
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Hardcover. Condizione: new. Hardcover. The effectiveness of policy decisions depends not only on the quality of the analysis but also on the communication between analyst and decision-maker. As a result, this text employs the following three-step decomposition of the decision modelling process throughout: (1) visual-structural modelling, (2) analytic-formal modelling, and (3) algorithmic resolution modelling. The 10 chapters address the most relevant issues in decision modelling in policy management: the problem-solving process; visual decision modeling; descriptive and normative preference elicitation; and aggregation methods, dealing with uncertainty in dynamic problems, social choices, conflict resolution, and constraint-optimization problems.Notable features of this text include: introduction of a visual approach to decision modelling in policy management (over 100 figures and illustrations), integrating the European School (outranking relations, dimension reduction, ordinal preferences, rank correlation) and the American School (utility theory, analytic hierarchy process, game theory, constraint-optimization); it presents analytic approaches in the context of structural, formal, and resolution modeling; references to further practical and theoretical readings; intuitive visual reasoning; detailed numerical examples replacing theorems and formal proofs; it discusses new decision analytical features: visual interactive preference ordering; dynamic plots in virtual negotiation; hypermedia influence diagram modelling; and it integrates 100 problems with worked-out solutions; an Internet syllabus with assignments, students comments, and Internet multimedia software are available. The last decade has experienced major societal challenges at the intersection of technological systems and policy making. The purpose was to educate engineering oriented policy analysts in bridging the gap between engineering systems and policy decision making processes, both for the public and private sector. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780792383307
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The last decade has experienced major societal challenges at the intersection of technological systems and policy making. Prevalent examples are the liberalization of energy and telecommunications markets, the public aversion towards nuclear power plants, the development of high-speed trains, the debates about global warming and sustainability, the development of intelligent vehicle systems, and the controversies concerning the location of waste depositories, airports, and energy systems. These challenges, coupled with the call from industry for a systems-engineering oriented approach to policy analysis, motivated Delft University of Technology to launch the first European School of Systems Engineering, Policy Analysis. and Management (SEPA). The purpose was to educate engineering oriented policy analysts in bridging the gap between engineering systems and policy decision making processes, both for the public and private sector. Up to now, more than 500 first-year students and 30 Ph.D. students have enrolled in the program. In 1993, I set up a class called Quantitative Methods for Problem Solving which had to address the most relevant issues in decision making for policy management, such as linear and non-linear optimization, multiattribute utility theory, multicriteria decision making, concepts from game theory, outranking relations, and probabilistic influence diagrams. 376 pp. Englisch. Codice articolo 9780792383307
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