Grey Weighted Sum Model for Evaluating Business Environment in West Africa

被引:15
|
作者
Esangbedo, Moses Olabhele [1 ]
Che, Ada [1 ]
机构
[1] Northwestern Polytech Univ, Sch Management, Xian 710072, Peoples R China
关键词
GROUP DECISION-MAKING; TOPSIS-GREY; LINGUISTIC VARIABLES; PRODUCT ASSESSMENT; SAW-G; SELECTION; CRITERIA; RANKING; SYSTEM; MANAGEMENT;
D O I
10.1155/2016/3824350
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
As West Africa investments grow, the decision in which country to begin investment is of great importance to investors. The complexity of the criteria involved draws us to use a Multicriteria Decision-Making (MCDM) approach to address this problem. In this paper, we use grey numbers in representing ranges of data and propose Grey Weighted Sum Model (GWSM) for evaluating and ranking of alternatives. Sensitivity analysis is carried out considering wide ranges of uncertainties to verify the changes that can affect the results. The Gambia is ranked the best country in West Africa. The GWSM is highly recommended for long-term investors because GWSM considers the uncertainty of a business environment over a period of years. Finally, GWSM can be used in conjunction with various weighting techniques putting the preferences of the investors into consideration.
引用
收藏
页数:14
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