计算机科学 ›› 2021, Vol. 48 ›› Issue (5): 209-216.doi: 10.11896/jsjkx.200500034
雍琪1, 蒋维娜1, 罗育泽2
YONG Qi1, JIANG Wei-na1, LUO Yu-ze2
摘要: 随着审判管理日趋精细化,法院对审判风险精准化评估的需求逐渐增多,其中,如何有效进行审判风险等级定量分析是精准化风险评估的核心问题。现有的机器学习、风险矩阵等方法由于存在历史数据有限、审判风险评估精度要求高等不足,难以有效地应用于实际审判业务中。针对此问题,构建了基于模糊数相似度的审判风险评估模型,实现了多因素审判风险的定量评估。首先针对审判风险指标进行辨识,建立了基于AHP的多层级风险指标模型,以提升审判风险的分析粒度和评价客观性;然后,为了获取模糊风险测度,设计了基于混合输入的风险聚合模型,该模型应用流程信息来提高评估准确性,实现了审判风险指标的分类聚合;最后,构建了基于相似度算法的风险等级确定模型,该模型能够有效排除人为因素和异常数据的干扰,实现了审判风险等级的精准度量。基于审判风险评估模型,设计并实现了相应的评估系统,该评估系统包括风险计算、风险管理和风险预警模块,通过在实际法院管理系统中进行集成和应用,该评估系统有效优化了目前局限于审限预警的审判风险管理模式,进一步提高了审判管理的精细化程度。
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[1]AN Y,HUANG N J,YANG R,et al.Deep learning-based model for risk prediction of cardiovascular diseases[J].Chinese Journal of Medical Physics,2019,36(9):1103-1112. [2]WICKBOLDT J A,BIANCHIN L A,LUNARDI R C,et al.A framework for risk assessment based on analysis of historical information of workflow execution in IT systems[J].Computer Networks,2011,55(13):2954-2975. [3]LI Z P,YEE Q M G,TAN P S,et al.An extended risk matrix approach for supply chain risk assessment[C]//2013 IEEE International Conference on Industrial Engineering and Enginee-ring Management.IEEE,2013:1699-1704. [4]NI H,CHEN A,CHEN N.Some extensions on risk matrix approach[J].Safety Science,2010,48(10):1269-1278. [5]ZHANG Y,XU Z,LIAO H.Water security evaluation based on the TODIM method with probabilistic linguistic term sets[J].Soft Computing,2019,23(15):6215-6230. [6]JARIBION A,KHAJAVI S H,MOTLAGH N H,et al.A novel method for big data analytics and summerization based on fuzzy similarity measure[C]//2018 IEEE 11th International Confe-rence on Service Oriented Computing and Applications(SOCA).2018:221-226. [7]ZUO X,WANG L,YUE Y.A new similarity measure of gene-ralized trapezoidal fuzzy numbers and its application on rotor fault diagnosis[J].Mathematical Problems in Engineering,2013,2013(pt.2):291-300. [8]CHUTIA R,GOGOI M K.Fuzzy risk analysis in poultry far-ming using a new similarity measure on generalized fuzzy numbers[J].Computers & Industrial Engineering,2018,115:543-558. [9]KHORSHIDI H A,NIKFALAZAR S.An improved similaritymeasure for generalized fuzzy numbers and its application to fuzzy risk analysis[J].Applied Soft Computing,2017,52:478-486. [10]HEJAZI S R,DOOSTPARAST A,HOSSEINI S M.An im-proved fuzzy risk analysis based on a new similarity measures of generalized fuzzy numbers[J].Expert Systems with Applications,2011,38(8):9179-9185. [11]AHMAD S A S,MOHAMAD D,SULAIMAN N H,et al.A distance and set theoretic-based similarity measure for genera-lized trapezoidal fuzzy numbers[C]//AIP Conference Procee-dings.AIP Publishing,2018:1-8. [12]LI J,ZENG W.Fuzzy risk analysis based on the similarity mea-sure of generalized trapezoidal fuzzy numbers[J].Journal of Intelligent & Fuzzy Systems,2017,32(3):1673-1683. [13]XU Z,SHANG S,QIAN W,et al.A method for fuzzy risk ana-lysis based on the new similarity of trapezoidal fuzzy numbers[J].Expert Systems with Applications,2010,37(3):1920-1927. [14]REZAKHANI P,JANG W S,LEE S,et al.Project risk assessment model combining the fuzzy weighted average principle with a similarity measure[J].KSCE Journal of Civil Engineering,2014,18(2):521-530. [15]RAHMAN K,ALI A,SHAKEEL M,et al.Pythagorean fuzzyweighted averaging aggregation operator and its application to decision making theory[J].The Nucleus,2017,54(3):190-196. [16]SCHMUCKER K J.Fuzzy sets,nanural language computations,and risk analysis[J].Computer Science Press,1984,27(3):395-396. [17]DENG R,SHI W K,DU F,et al.A new similarity measure of generalized fuzzy numbers and its application to pattern recognition[J].Pattern Recognition Letters,2004,25(8):875-883. [18]CHEN Y.Lightweight responsive framework Vue.js application analysis[J].China Management Informationization,2018,21(3):181-183. [19]DENG W T.A Study of the Method of Building Single-page GIS Application Based on Vue.js [J].Technology Innovation and Application,2018(14):5-7. |
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