AN INNOVATIVE MULTI-CRITERIA SUPPLIER SELECTION BASED ON TWO-TUPLE MULTIMOORA AND HYBRID DATA

被引:0
|
作者
Balezentis, Alvydas [1 ]
Balezentis, Tomas [2 ]
机构
[1] Mykolas Romeris Univ, Vilnius, Lithuania
[2] Vilnius Univ, Vilnius, Lithuania
关键词
MCDM; MULTIMOORA; MULTIMOORA-2T; 2-tuple linguistic representation; hybrid data; fuzzy number; uncertainty; supply chain management; supplier selection; innovative procurements; GROUP DECISION-MAKING; LINGUISTIC REPRESENTATION MODEL; MULTIPLE CRITERIA; REGIONAL-DEVELOPMENT; EUROPEAN-UNION; MOORA METHOD; INFORMATION; TOPSIS; ORDER; ROBUSTNESS;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this study, a multi-criteria decision making method MULTIMOORA (Multi-Objective Analysis by Ratio Analysis plus the Full Multiplicative Form) is extended to tackle fuzzy supplier selection problem, which is an important part of supply chain management model. More specifically, this study is aimed at extending MULTIMOORA with 2-tuple linguistic representation method. Hence, two-tuples are used to represent, convert and map into the basic linguistic term set various crisp and fuzzy numbers. Consequently, the fusion of crisp, fuzzy, and linguistic variables was performed when assessing the suppliers. The application of the new method was successful. Moreover, the indicator system can be customized according to the needs of certain decision maker, thus making MULTIMOORA-2T a powerful tool for such practices as e-commerce, e-procurement, and innovative procurements.
引用
收藏
页码:37 / 56
页数:20
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