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来源类型 | Article |
规范类型 | 其他 |
DOI | 10.1007/978-3-319-52624-9_2 |
Trade-offs for Ordinal Ranking Methods in Multi-Criteria Decisions. | |
Danielson M; Ekenberg L | |
发表日期 | 2017 |
出处 | Lecture Notes in Business Information Processing 274: 16-27 |
出版年 | 2017 |
语种 | 英语 |
摘要 | Weight elicitation methods in multi-criteria decision analysis (MCDA) are often cognitively demanding, require too much precision and too much time and effort. Some of the issues may be remedied by connecting elicitation methods to an inference engine facilitating a quick and easy method for decision-makers to use weaker input statements, yet being able to utilize these statements in a method for decision evaluation. One important class of such methods ranks the criteria and converts the resulting ranking into numerical so called surrogate weights. We analyse the relevance of these methods and discuss how robust they are as candidates for modelling decision-makers and analysing multi-criteria decision problems under the perspectives of several stakeholders. |
主题 | Risk & ; Resilience (RISK) ; Risk, Policy and Vulnerability (RPV) |
关键词 | Multi-criteria decision analysis, Criteria weights, Criteria ranking, Rank order |
URL | http://pure.iiasa.ac.at/id/eprint/14219/ |
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/130910 |
推荐引用方式 GB/T 7714 | Danielson M,Ekenberg L. Trade-offs for Ordinal Ranking Methods in Multi-Criteria Decisions.. 2017. |
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GDN%202016%20conf.pd(568KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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