Performance Evaluation Model of Medical Insurance Funds in Uncertain Information Environment
YU Benhai，ZHI Rongteng，GUO Lin，WU Hengliang，CHENG Jun
1. Shanghai Institute of Technology, Shanghai, China; 2. Donghua University, Shanghai, China; 3. Shandong Institute of Business and Technology, Yantai, Shandong, China; 4. Bureau of Audit of Yantai Municipality, Yantai, Shandong, China
Abstract：This study constructs the performance evaluation index system of medical insurance funds from the perspective of the medical insurance fund operation process. The index system can be divided into three dimensions, fund raising, fund utilization and fund management. Besides, the improved D-S evidence theory is proposed based on conflict coefficient and similarity of evidence to measure the conflict degree of evidence accurately and to combine highly conflictive evidence effectively. This study develops a performance evaluation model of medical insurance funds based on improved D-S evidence theory and grey relational analysis to measure the uncertainty of medical insurance fund information and to combine the information. Yantai is set as an example to verify the proposed model. The results show that this model can solve the problems of evaluation indexes screening, index combination weights determination and multi-source evaluation information fusion. The evaluate results reflect actual conditions of medical insurance funds performance of pooling regions.
于本海，智荣腾，郭林，吴恒亮，程军. 不确定信息环境下的医保基金绩效评价模型[J]. 管理学报, 2018, 15(12): 1862-.
YU Benhai，ZHI Rongteng，GUO Lin，WU Hengliang，CHENG Jun. Performance Evaluation Model of Medical Insurance Funds in Uncertain Information Environment. Chinese Journal of Management, 2018, 15(12): 1862-.
