A hybrid decision-making framework for photovoltaic poverty alleviation project site selection under intuitionistic fuzzy environment

Abstract

The photovoltaic poverty alleviation project (PPAP), with functions of clean generation and poverty assistance, is regarded as an effective way to promote energy structure transformation and social coordinated development. Improper site selection poses a threat to stable profits, which hinders PPAP development. However, existing index systems fail to reflect PPAPs’ characteristics, and traditional decision-making techniques are faced with some problems such as information loss and evaluation bias. Therefore, a hybrid decision-making framework for PPAP site selection is proposed: First, based on 4-dimension searching loop, a comprehensive index system which includes veto indexes and sorting indexes is established; Second, a combined weight determining method is adopted to balance logic importance and decision-making contribution; Third, an extended ranking method is proposed for optimal alternative determination with consideration of intuitionistic fuzzy environment and bounded rationality; Finally, a case of Anhui, China is employed to verify the practicability and the robustness of the proposed framework. Results show that number of households assisted, initial capital and local villager support play a vital role in PPAP site selection. Judging from contributions, this paper can not only provide effective decision-making guidance for project investors, but also enriches the theoretical system of multi-criteria decision-making methods.