Gateway to Think Tanks
来源类型 | Article |
规范类型 | 其他 |
DOI | 10.1007/s10726-016-9494-6 |
A robustness study of state-of-the-art surrogate weights for MCDM. | |
Danielson M; Ekenberg L | |
发表日期 | 2017 |
出处 | Group Decision and Negotiation 26 (4): 677-691 |
出版年 | 2017 |
语种 | 英语 |
摘要 | A vast number of methods for solving multi-criteria decision problems have been suggested for assessing criteria weights requiring more exact input data than users normally are able to provide. In particular, the selection of adequate criteria weights is difficult and in order to be realistic, other methods must be introduced. One class of such methods is to introduce so called surrogate weights, where numerical weights are assigned to each criterion based on a cardinal or ordinal rank ordering, assumed to represent the information extracted from the user. One essential problem is the robustness of such methods. In this article, we compare state-of-the-art methods based on surrogate weights from the literature and, utilizing a simulation approach, discuss underlying assumptions and robustness properties. This results in a quantitative measurement of these weighting methods and a methodology applicable also to forthcoming methods. |
主题 | Risk & ; Resilience (RISK) ; Risk, Policy and Vulnerability (RPV) |
关键词 | Multi-criteria decision analysis surrogate criteria weights robustness criteria ranking rank order |
URL | http://pure.iiasa.ac.at/id/eprint/13385/ |
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/131016 |
推荐引用方式 GB/T 7714 | Danielson M,Ekenberg L. A robustness study of state-of-the-art surrogate weights for MCDM.. 2017. |
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 | ||
Robustness.pdf(423KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[Danielson M]的文章 |
[Ekenberg L]的文章 |
百度学术 |
百度学术中相似的文章 |
[Danielson M]的文章 |
[Ekenberg L]的文章 |
必应学术 |
必应学术中相似的文章 |
[Danielson M]的文章 |
[Ekenberg L]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。