基于距离测度的直觉模糊群组评价共识达成方法  

Research on Consensus with Intuitionistic Fuzzy Group Assessment via Distance Measure

作　　者：周金明 苏为华[2] 周蕾[3] 何帮强 ZHOU Jin-ming;SU Wei-hua;ZHOU Lei;HE Bang-qiang(School of Mathematics and Physics,Anhui Polytechnic University,Wuhu 241000,China;School of Statistics and Mathematics,Zhejiang Gongshang University,Hangzhou 310018,China;Glorious Sun School of Business and Management,Donghua University,Shanghai 200051,China)

机构地区：[1]安徽工程大学数理学院,安徽芜湖241000 [2]浙江工商大学统计与数学学院,浙江杭州310018 [3]东华大学旭日工商管理学院,上海200051

出　　处：《数学的实践与认识》2018年第19期184-193,共10页Mathematics in Practice and Theory

基　　金：国家自然科学基金(71671165);高等教育提升计划自然科学研究一般项目(TSKJ2017B22);安徽工程大学国家基金预研项目(人文社会科学类)(2017yyrw07);金融工程研发中心开放基金项目(JRGCKF201506)

摘　　要：针对群组评价过程具有模糊性，不确定性和复杂性以及群组内专家之间的判断能力存在差异等问题．以群组评价一致性分析为视角探讨如何有效解决专家之间意见的冲突，提出基于直觉模糊距离的测度方法，对群组评价结果达成共识进行分析；其次，对指标权重和专家权重修正并进行下一轮评价，直至达到满意的一致性；最后，通过实例表明方法的合理性与有效性．Judgment is various between the experts of the group evaluation process with fuzzy, uncertainty and complexity. From the perspective of group assessment consistency analysis to discuss how to resolve the conflict between expert opinions effectively, a method based on intuitionistic fuzzy distance analysis of group evaluation results is proposed to reach consensus; secondly, the index weight and expert weight are corrected and the next evaluation is carried out until satisfactory consistency is achieved. Finally, an example is given to illustrate the effectiveness of the method.

关 键 词：群组评价 子群 直觉模糊 距离 共识 

分 类 号：O159[理学—数学]