| 书目名称 | Sensitivity Analysis in Multi-objective Decision Making | | 编辑 | David Ríos Insua | | 视频video | | | 丛书名称 | Lecture Notes in Economics and Mathematical Systems | | 图书封面 |  | | 描述 | The axiomatic foundations of the Bayesian approach to decision making assurne precision in the decision maker‘s judgements. In practicc, dccision makers often provide only partial and/or doubtful information. We unify and expand results to deal with those cases introducing a general framework for sensitivity analysis in multi-objective decision making. We study first decision making problems under partial information. We provide axioms leading to modelling preferences by families of value functions, in problems under certainty, and moJelling beliefs by families of probability distributions and preferences by familics of utility functions, in problems under uncertainty. Both problems are treated in parallel with the same parametric model. Alternatives are ordered in a Pareto sense, the solution of the problem being the set of non dominated alternatives. Potentially optimal solutions also seem acceptable, from an intuitive point of view and due to their relation with the nondominated ones. Algorithms are provided to compute these solutions in general problems and in cases typical in practice: linear and bilinear problems. Other solution concepts are criticised on the grounds of bein | | 出版日期 | Book 1990 | | 关键词 | Entscheidungen bei unvollständiger Information; Entscheidungstheorie; Multi-objective decision making; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-51656-6 | | isbn_softcover | 978-3-540-52692-6 | | isbn_ebook | 978-3-642-51656-6Series ISSN 0075-8442 Series E-ISSN 2196-9957 | | issn_series | 0075-8442 | | copyright | Springer-Verlag Berlin Heidelberg 1990 |
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发表于 2025-3-21 18:25:00
