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

In this paper, a new hybrid AHP and Dempster-Shafer Theory of Evidence is presented for solving the problem choosing best project among list available alternatives while uncertain risk factors are taken into account. The aim to minimize overall risks. For purpose, four groups factors, including Properties, Operational Technological, Financial, Strategic considered. Then using an L24 Taguchi method, several experiments with various dimensions have been designed solved by proposed algorithm. outcomes then analyzed Validating Index (VI), Reduced Risk Indicator (R.R.I%), Solving time. findings indicated that, compared classic AHP, results method were different in most cases due uncertainty factors. It was observed that could be safely used selecting problems real industries.