The Economic Evaluation Research Based On Combined Weight And Improved TOPSIS

Scientific development concept is to adhere to a people-centered, comprehensive, coordinated and sustainable development. The establishment of implementing the scientific concept of development of the economic evaluation system is conducive to build a harmonious society, to maintain stable and rapid economic development, and promote economic and social sustainable development. At present, Evaluation index system imperfect, a single evaluation method, and the lack of an effective evaluation mechanism are the key problems in economic evaluation system.The thesis is divided into four chapters. The first chapter is the research background, research content and research framework. The second chapter is the establishment of economic evaluation index system for districts. The third chapter is the economic assessment model based on scientific concept of development. The fourth chapter uses 10 sub-provincial cities and 10 districts' data for empirical research.The main achievements of the thesis are as follows.(1) This paper establishes an economic assessment model based on fuzzy entropy. Through determining the optimal weights of indicators by combining entropy method and triangle fuzzy method optimally, this paper establishes the comprehensive evaluation model of economy and analyzes the development of China's 10 sub-provincial cities.(2) This paper establishes an economic assessment model based on improved TOPSIS. According to the connotation of insisting on scientific concept of development, this paper constructs the index system for districts. By eliminating the reverse phenomenon of TOPSIS and objective determining the index weight, this paper establishes the comprehensive evaluation model of economy based on improved TOPSIS and analyzes the development of 10 districts.The contribution characteristics lie on two aspects.First, by setting the ideal and negative ideal solution to a fixed value, it makes the evaluation not change as the sample to increase or decrease, solves the additive and reductive problem. When the number of objects increases or decreases, TOPSIS will produce the reverse problem, leading the logical confusion. This paper, by setting the ideal and negative ideal solution to a fixed value, makes the evaluation not change as the sample to increase or decrease, avoids the reverse problem arising from the changing of ideal and negative ideal solution.Second, through combination weighting, it not only retains the entropy method which reflects the actual situation and speculate the future of factors, but also retains the subjective empowering, such as triangle fuzzy method, which embodies the importance of experts' knowledge and experience.