| 基于指标权重分配的群决策赋权方法研究 |
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| 引用本文： | 王斌,李刚,曹勇,彭晓红,陈凯.基于指标权重分配的群决策赋权方法研究[J].运筹与管理,2018,27(11):22-25. |
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| 作者姓名： | 王斌 李刚 曹勇 彭晓红 陈凯 |
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| 作者单位： | 1.东北大学 工商管理学院, 辽宁 沈阳 110819; 2.东北大学 秦皇岛分校 经济学院, 河北 秦皇岛 066004; 3.中国科学院 科技战略咨询研究院, 北京 100190 |
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| 基金项目： | 国家自然科学基金青年基金(71601041):“不完全信息下中小企业的信用评级与违约损失率匹配研究”;河北省社会科学基金项目一般项目(HB15YJ117):“供应链金融视角下中小企业信用风险评价研究”;中国博士后科学基金一等资助项目(2016M590136):“中小企业信贷决策的社会网络分析赋权方法研究”;中国博士后科学基金特别资助项目(2017T100111):“考虑多源信息融合的中小企业信用风险评价研究” |
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| 摘 要： | 本文的主要工作是从指标层入手对群决策中的赋权方法进行研究。首先,根据多位专家给出的某一指标的多个权重,通过一致性检验确定该指标的合理取值区间;然后,以组合权重与通过一致性检验的专家权重之间的偏差最小为目标函数建立优化模型,求解组合权重;最后,通过算例验证了模型的有效性和可行性。本文的主要创新与特色有两点:一是从指标层面对专家权重的一致性进行检验,与根据专家的权重向量的一致性检验相比,更加灵活,且避免了对有效信息的删除和无效信息的放大;二是从指标层面确定指标的组合权重,解决了群决策中的组合赋权问题,改变了专家权重分配对组合权重的影响问题。
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| 关 键 词： | 群决策 组合赋权 指标层 优化模型 |
| 收稿时间： | 2016-09-09 |
Research on the Weighting Method for Group Decision Based on the Weighting of the Indices |
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| WANG Bin,LI Gang,CAO Yong,PENG Xiao-hong,CHEN Kai.Research on the Weighting Method for Group Decision Based on the Weighting of the Indices[J].Operations Research and Management Science,2018,27(11):22-25. |
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| Authors: | WANG Bin LI Gang CAO Yong PENG Xiao-hong CHEN Kai |
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| Affiliation: | 1.School of Business Administration, Northeastern University, Shenyang 110819, China;2.School of Economics, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China;3.Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China |
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| Abstract: | The main work of this paper is to determine the weights for Group Decision based on the weighting of the indices. Firstly, we get the reasonable range of the indices based on the weights of the expert. And then, this paper builds the optimization model to calculate the combination weight. At last, case studies testify the validity and feasibility of this method. The contribution characteristics lie on two aspects. Firstly, this paper makes the consistency test on the indicators take the place of the weight vector of the experts, and avoids the mistake of the effective information deleted and the amplification of invalid information. Secondly,this paper gets the combination weight based on the weighting of the indices,and solves the weight problem in group decision-making. |
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| Keywords: | group decision combination weight indicates optimization model |
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