摘要
针对传统群体评价方法大多未考虑被评价对象参与且评价信息分布相对单一的不足,提出一种新的信息具有正态分布特征的主客方协作式群体评价方法.首先,提出差异优势度来衡量评价者所给评价信息的优劣;其次,将差异优势度作为诱导变量对主客方评价信息进行聚类并确定密度加权向量;再次,提出二维诱导密度加权平均算子(TI-DWA)对主客方评价信息进行集结,从而得到最终评价结果;最后,通过一个算例来验证所提出方法的可行性与有效性.
This paper mainly discuss a new group evaluation method based on collaboration of subject and object with normal distribution information, compared with a conventional evaluation method which fails to take the joint part of evaluated objects into consideration and adjusts its single distribution of insufficient evaluated information. Firstly, the differential dominance to measure the merits of information provided by evaluators is presented. Secondly, the differential dominance is taken as a induced variable to cluster subjective evaluated information and determine the density weighted vector. Thirdly, two-dimensional induced density weighted average operator(TI-DWA) can be deduced to collect both subjective and objective evaluated information, contributing to a final assessed result. Finally, an example is used to verify the feasibility and effectiveness of the proposed method.
作者
张发明
代万强
袁宇翔
ZHANG Fa-ming;DAI Wan-qiang;YUAN Yu-xiang(College of Economics and Management,Nanchang University,Nanchang 330031,China;College of Management,Xi'an Jiaotong University,Xi'an 710049,China)
出处
《控制与决策》
EI
CSCD
北大核心
2018年第12期2251-2257,共7页
Control and Decision
基金
国家自然科学基金项目(71361021
71001048
71261007)
江西省教育厅科技资助重点项目(GJJ15113)
江西省社会科学"十二五规划"项目(13GL38)
江西省学位与研究生教改研究重点项目(JXYJG-2014-002)
江西省赣鄱英才555工程项目(18000070)
江西省青年科学家(井岗之星)项目(00019699)
关键词
正态分布
群体评价
主客方
协作
差异优势度
normal distribution
group evaluation
subject and object
collaboration
differential dominance
