UPM Institutional Repository

Development of a hybrid AHP and Dempster-Shafer theory of evidence for project risk assessment problem


Albogami, Saad M. and Mohd Ariffin, Mohd Khairol Anuar and Supeni, Eris Elianddy and Ahmad, Kamarul Arifin (2021) Development of a hybrid AHP and Dempster-Shafer theory of evidence for project risk assessment problem. Journal of Project Management, 7. pp. 77-94. ISSN 2371-8366; ESSN: 2371-8374


In this paper, a new hybrid AHP and Dempster-Shafer Theory of Evidence is presented for solving the problem of choosing the best project among a list of available alternatives while uncertain risk factors are taken into account. The aim is to minimize overall risks. For this purpose, four groups of risk factors, including Properties, Operational and Technological, Financial, Strategic risk factors, are considered. Then using an L2 4 Taguchi method, several experiments with various dimensions have been designed and solved by the proposed algorithm. The outcomes are then analyzed using the Validating Index (VI), Reduced Risk Indicator (R.R.I%), and Solving time. The findings indicated that, compared to the classic AHP, the results of the proposed hybrid method were different in most cases due to uncertainty of risk factors. It was observed that the method could be safely used for selecting project problems in real industries.

Download File

[img] Text (Abstract)

Download (5kB)

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.5267/j.jpm.2021.10.003
Publisher: Growing Science
Keywords: Project management; Project selection; Dempster-Shafer Theory of Evidence; AHP; Uncertainty
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 01 Dec 2022 08:28
Last Modified: 01 Dec 2022 08:28
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.5267/j.jpm.2021.10.003
URI: http://psasir.upm.edu.my/id/eprint/96686
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item