.png){kind=icon}
返回
Fuzzy Multicriteria Decision-Making Methods: A Comparative Analysis
.png){kind=icon}
OA
AI
DOI：10.1002/int.21873.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Given a multicriteria decision-making problem, an obvious question emerges: Which method should be used to solve it? Although some efforts had been made, the question remains open. The aim of this contribution is to compare a set of multicriteria decision-making methods sharing three features: same fuzzy information as input data, the need of a data normalization procedure, and quite similar information processing. We analyze the rankings produced by fuzzy MULTIMOORA, fuzzy TOPSIS (with two normalizations), fuzzy VIKOR, and fuzzy WASPAS with different parameterizations, over 1200 randomly generated decision problems. The results clearly show their similarities and differences, the impact of the parameters settings, and how the methods can be clustered, thus providing some guidelines for their selection and usage.
Keyword:
CRITERIA
MULTIMOORA
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.7
论文数:
3.1K
被引数:
8.1K
机构
引用论文
ROS1 as a ‘druggable’ receptor tyrosine kinase: lessons learned from inhibiting the ALK pathway
PREAI
分享收藏分享收藏Efficacy of citric acid chelate and Bacillus sp. in amelioration of cadmium and chromium toxicity in wheat.png)
Chemosphere
ChemosphereIF0
PREAI
分享收藏
查看更多内容