妥协
排名(信息检索)
灵活性(工程)
计算机科学
多准则决策分析
灵敏度(控制系统)
数学优化
过程(计算)
供应链
度量(数据仓库)
运筹学
数据挖掘
数学
机器学习
工程类
统计
社会科学
操作系统
社会学
电子工程
法学
政治学
作者
Morteza Yazdani,Pascale Zaraté,Edmundas Kazimieras Zavadskas,Zenonas Turskis
出处
期刊:Management Decision
[Emerald (MCB UP)]
日期:2019-10-15
卷期号:57 (9): 2501-2519
被引量:419
标识
DOI:10.1108/md-05-2017-0458
摘要
Purpose The purpose of this paper is to discuss the advantage of a combinatory methodology presented in this study. The paper suggests that the comparison with results of previously developed methods is in high agreement. Design/methodology/approach This paper introduces a combined compromise decision-making algorithm with the aid of some aggregation strategies. The authors have considered a distance measure, which originates from grey relational coefficient and targets to enhance the flexibility of the results. Hence, the weight of the alternatives is placed in the decision-making process with three equations. In the final stage, an aggregated multiplication rule is employed to release the ranking of the alternatives and end the decision process. Findings The authors described a real case of choosing logistics and transportation companies in France from a supply chain project. Some comparisons such as sensitivity analysis approach and comparing to other studies and methods provided to validate the performance of the proposed algorithm. Originality/value The algorithm has a unique structure among MCDM methods which is presented for the first time in this paper.
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