Research on Comprehensive Evaluation for New Energy Big Data Service Project based on Prospect Theory and TOPSIS

Abstract

This paper from considering the purpose and demand of new energy big data service, the comprehensive evaluation index system for comprehensively evaluating the operational efficiency of new energy big data service is constructed from four aspects of economy, technology, environmental benefits and social services. In the same time, the comprehensive empowerment method based on improved hierarchical analysis and entropy is also studied using the principle of minimum discriminatory information. Secondly, to address the shortcoming that the subjective risk tendency of decision makers probably takes impact on the results of the index-based comprehensive evaluation of decision-making, this paper introduces the prospect theory. Considering the limited rationality of investors and risk assessment, the prospect theory and TOPSIS method are combined to further propose the method which uses the results of the comprehensive efficiency assessment of new energy big data service projects to rank the optimal scenarios. Finally, the effectiveness of both the comprehensive benefit evaluation index system and evaluation method is verified by simulation.