Intelligent trial management is of great significance for promoting judicial modernization and cyberspace governance. As an important part of intelligent trial management, evaluation of trial quality and effectiveness is very important for improving the trial ability of the people’s court and promoting judicial modernization. The evaluation of trial quality and effectiveness is of great significance for promoting judicial modernization and social governance. Aiming at the shortcomings of coarse granularity and insufficient objectivity of the traditional trial quality evaluation method, firstly, a new trial quality evaluation index system is constructed from the perspective of the whole dynamic trial process and based on the different nodes in the trial process, from the four dimensions of case filing management, trial handling, case closing management and post-case supervision. Second, in order to solve the problem of the objective index weight gain method, put forward the Delphi-entropy weight combination weighting method of adaptive optimization method, referred to as DEAWOA. On the basis of combining the subjective weight obtained by Delphi method with the objective weight obtained by entropy weight method, by evaluating the relative relationship between sample data objects and their relative positions, the cost function of the optimization algorithm is obtained. Then the simulated annealing method is used to realize the overall optimization of the evaluation results. Finally, the trial quality and effectiveness evaluation analysis is carried out by using the real judicial big data of 40 months in Chongqing basic people’s court system in recent 5 years. The results show that the evaluation method has good usability, distinguishability and interpretability in the evaluation of trial quality and effectiveness, and can make fine-grained objective evaluation of trial quality and effectiveness.
Combination Weight Optimization Based on Trial Quality and Effectiveness Evaluation Method
Lect. Notes Electrical Eng.
International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021
Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021) ; Kapitel : 48 ; 477-488
2022-03-18
12 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch