基于改进熵和灰关联分析的模糊物元分析模型及应用  

Fuzzy Matter-element Analysis Model Based on Improved Entropy and Grey Relational Analysis and Its Application

作　　者：宁宝权[1,2] 陕振沛[1] NING Bao-quan SHAN Zhen-pei(Department of Mathematics, Liupanshui Normal University. Liupanshui 553004 China Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China)

机构地区：[1]六盘水师范学院数学系,贵州六盘水553004 [2]大连理工大学管理与经济学部,辽宁大连116024

出　　处：《数学的实践与认识》2016年第20期280-284,共5页Mathematics in Practice and Theory

基　　金：贵州省科学技术基金(黔科合J字LKLS[2013]33号);贵州省教育厅高校人文社会科学研究项目(2016gh03);贵州省教育厅自然科学基金项目(黔教科2010101);贵州省高等学校教学质量与教学改革项目(黔教高发[2012]426号);六盘水师范学院科学研究计划项目(LPSSY201313;LPSSYDXS1416;LPSSYDXS1516);六盘水师范学院数学教育教学团队(LPSSYjxtd201102)

摘　　要：借助改进熵权法对评价指标进行赋权,在灰关联分析和模糊物元分析理论的基础上,建立了改进熵和灰关联分析的模糊物元分析模型,根据灰色关联度的大小对评价对象进行排序,并将其应用到综合评价中,通过实例,说明此模型的合理性.Evaluation indexes were weighted by improved entropy weight method,fuzzy matter-element analysis model based on improved entropy and grey relational analysis on the basis of fuzzy matter-element analysis and grey relational analysis was builded,evaluation objects are ranked by sizes of grey relational degree and applied the model to the comprehensive evaluation,the case proved the model effective.

关 键 词：改进熵权法 灰关联分析 模糊物元分析 灰色关联度 

分 类 号：N941.5[自然科学总论—系统科学]