A SuperHyperSoft Framework for Comprehensive Risk Assessment in Energy Projects

Energy projects are rapidly growing and effective risk management and assessment must reduce risks and increase sustainability. But energy projects are complex and have various risks such as environmental risks, regulatory risks, technical risks, and economic risks. This study proposed a multi-criteria decision-making (MCDM) methodology for risk assessment in energy projects to select the lowest energy project risks based on a set of criteria. The MCDM methodology is used under the neutrosophic sets to deal with uncertainty and value information. We used the MABAC method as an MCDM methodology to rank energy projects. We used SuperHyperSoft for the first time, an extension of HyperSoft to treat several criteria and sub criteria for energy project risks. This study used four criteria and 12 sub-criteria with seven alternatives. A case study was conducted to show the results of the proposed methodology. This study proposed four HyperSoft to select the best alternatives. The results show the technical risks have the highest weights.