Risk assessment of renewable energy investments: A modified failure mode and effect analysis based on prospect theory and intuitionistic fuzzy AHP

Most countries intending to replace traditional energy sources with renewable energy sources have started to make major investments in this field. Since renewable energy is a sector requiring large amount of investment costs, evaluation of investment risks are extremely important to make the best investment decisions. However, as risk assessment is a process based on expert judgments, the indecisiveness and cognitive bias of the experts should be eliminated. Therefore, a modified Failure Mode and Effect Analysis (FMEA) based on the prospect theory and interval-valued intuitionistic fuzzy Analytic Hierarchy Process (AHP) is introduced to assess the risks in renewable energy investments for the first time. As a result of the proposed risk assessment approach, renewable energy investment risks are prioritized by effectively overcoming the indecisiveness and cognitive bias of experts. (c) 2021 Elsevier Ltd. All rights reserved.

Automated summary

Many countries are making major investments in renewable energy sources, emphasizing the importance of evaluating investment risks. It is crucial to eliminate experts' indecisiveness and cognitive biases for accurate risk assessment. An innovative approach using prospect theory and interval-valued intuitionistic fuzzy Analytic Hierarchy Process (AHP) has been introduced to prioritize renewable energy investment risks effectively.