In the first volume of the set, Evaluation and Decision Models: A Critical Perspective, the purpose is to provide a critical thinking framework for all individuals utilizing decision and evaluation models, whether it be for research or applications. In the book, the authors criticized formal models while pointing out where these models can be useful. On the other hand, Evaluation and Decision Models with Multiple Criteria is a guide, a way of reasoning aimed at helping the analyst to choose a model and use it consistently. The authors propose, often using an axiomatic point of view, a sound analysis of techniques aimed at supporting the decision aiding process. The presentation is carried out within a unique framework that can be extended to most decision and evaluation models, as a "decision aiding methodology".

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In the first volume of the set, Evaluation and Decision Models: A Critical Perspective, the purpose is to provide a critical thinking framework for all individuals utilizing decision and evaluation models, whether it be for research or applications.

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Vol. I: Introduction.- Choosing on The Basis of Several Opinions.- Building and Aggregating Evaluations.- Constructing Measures.- Assessing Competing Projects.- Comparing on Several Attributes.- Deciding Automatically.- Dealing with Uncertainty.- Supporting Decisions.- Appendix A.- Appendix B.- Conclusion.- Bibliography.- Index. Vol. II: Introduction.- Problem Formulation and Structuring.- Numbers and Preferences.- Aggregation - Overture.- Aggregation Procedures.- Multi-Dimensional Preference Models.- Making Recommendation.- Conclusion.- Bibliography.- Name Index.- Subject Index.

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Intended for the enlightened practitioner or for anyone who uses decision or evaluation models - for research or for applications Provides a "decision aiding methodology" based on the science of formal decision models that a decision analyst can apply to many decision problems with maximum flexibility The authors' unique decision aiding process is discussed step-by-step throughout each volume Numerous examples and real world applications are used throughout the books to illustrate the primary components of the authors' decision-aiding processes of (1) developing a representation of the problem, (2) formulating the problem, (3) creating an evaluation model, and making a final recommendation
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GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
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Produktdetaljer

ISBN
9780387718880
Publisert
2012-05-08
Utgiver
Springer-Verlag New York Inc.; Springer-Verlag New York Inc.
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Professional/practitioner, P, 06
Språk
Product language
Engelsk
Format
Product format
Annet
Antall sider
730

Om bidragsyterne

The authors work in different European universities and research institutions. Their backgrounds are varied: mathematics, economics, engineering, law, and geology, and they teach in engineering, business, mathematics, computer science, and psychology in their universities. As a group, the authors have particular expertise in a variety of decision models that include preference modelling, fuzzy logic, aggregation techniques, social choice theory, artificial intelligence, problem structuring, measurement theory, operations research, and multiple criteria decision support. In addition to their decision analysis research, all the authors have been involved in a variety of high-impact applications which include software evaluation, location of a nuclear repository, the rehabilitation of a sewer network, and the location of high-voltage lines. It is this variety within the authorship that unifies this book into a systematic examination of how best formal decision models can be used.