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来源类型Article
规范类型其他
DOI10.1007/978-3-319-52624-9_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
URLhttp://pure.iiasa.ac.at/id/eprint/14219/
来源智库International Institute for Applied Systems Analysis (Austria)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/130910
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GB/T 7714
Danielson M,Ekenberg L. Trade-offs for Ordinal Ranking Methods in Multi-Criteria Decisions.. 2017.
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