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来源类型 | Article |
规范类型 | 其他 |
DOI | 10.1155/2014/519512 |
Implementing second-order decision analysis: concepts, algorithms, and tool. | |
Larsson A; Kuznetsova A; Caster O; Ekenberg L | |
发表日期 | 2014 |
出处 | Advances in Decision Sciences 519512: 1-8 |
出版年 | 2014 |
语种 | 英语 |
摘要 | We present implemented concepts and algorithms for a simulation approach to decision evaluation with second-order belief distributions in a common framework for interval decision analysis. The rationale behind this work is that decision analysis with interval-valued probabilities and utilities may lead to overlapping expected utility intervals yielding difficulties in discriminating between alternatives. By allowing for second-order belief distributions over interval-valued utility and probability statements these difficulties may not only be remedied but will also allow for decision evaluation concepts and techniques providing additional insight into a decision problem. The approach is based upon sets of linear constraints together with generation of random probability distributions and utility values from implicitly stated uniform second-order belief distributions over the polytopes given from the constraints. The result is an interactive method for decision evaluation with second-order belief distributions, complementing earlier methods for decision evaluation with interval-valued probabilities and utilities. The method has been implemented for trial use in a user oriented decision analysis software. |
主题 | Risk & ; Resilience (RISK) ; Risk, Policy and Vulnerability (RPV) |
URL | http://pure.iiasa.ac.at/id/eprint/10780/ |
来源智库 | International Institute for Applied Systems Analysis (Austria) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/129866 |
推荐引用方式 GB/T 7714 | Larsson A,Kuznetsova A,Caster O,et al. Implementing second-order decision analysis: concepts, algorithms, and tool.. 2014. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
519512.pdf(2428KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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