Grey Weighted Sum Model for Evaluating Business Environment in West Africa

Joint Authors

Esangbedo, Moses Olabhele
Che, Ada

Source

Mathematical Problems in Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-06-20

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Civil Engineering

Abstract EN

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.

American Psychological Association (APA)

Esangbedo, Moses Olabhele& Che, Ada. 2016. Grey Weighted Sum Model for Evaluating Business Environment in West Africa. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1112093

Modern Language Association (MLA)

Esangbedo, Moses Olabhele& Che, Ada. Grey Weighted Sum Model for Evaluating Business Environment in West Africa. Mathematical Problems in Engineering No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1112093

American Medical Association (AMA)

Esangbedo, Moses Olabhele& Che, Ada. Grey Weighted Sum Model for Evaluating Business Environment in West Africa. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1112093

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1112093