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作 者:侯芳[1,2,3] HOU Fang(School of Management, Shenyang University of Technology, Shenyang 110870, China;Northeastern Evaluation Center, Northeastern University, Shenyang 110167, China;Research Center for Technological Innovation. Tsinghua University, Beijing 100084, China)
机构地区:[1]沈阳工业大学管理学院,辽宁沈阳110870 [2]东北大学东北评价中心,辽宁沈阳110620 [3]清华大学技术创新研究中心,北京100084
出 处:《运筹与管理》2021年第11期183-189,共7页Operations Research and Management Science
基 金:国家自然科学基金资助项目(71401109);教育部人文社会科学基金资助项目(19YJC630054);辽宁省教育厅高等学校基本科研项目(LJKR0073)。
摘 要:基于评价网络结构,分析连接行为在群组评价中的作用。面向具有一定规模的群体,通过犹豫模糊元刻画其连接行为并测算评价网络效用期望。假设连接行为有互动成本;评价者越相似,互动的必要性越弱;连接行为是犹豫模糊的。首先由随机模拟连接计算网络效用并生成随机连接优胜矩阵;其次计算评价网络迭代价值函数;最后解释满足假设生成的评价网络价值,给出连接行为和互动过程终止建议。Interaction is a difficult and inevitable problem in group decision making(GDM).We should be clear about whom we need to negotiate with and whether the interaction is effective.This paper proposes a method to explain how to interact in GDM using hesitant fuzzy elements.We take the GDM as a network in which experts are nodes and theirs’interactions are links.There are three assumptions and two parts to describethe network value and interaction process,includingthe random dominant matrix and network utility,using the Bellman equation and hesitant fuzzy elements.More specifically,this method gives advice in two levels,and both group and experts could improve their strategies.Therefore,to promote the GDM efficiency,the method could compare the utility,network value and links simultaneously.
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