管理评论 ›› 2021, Vol. 33 ›› Issue (6): 98-110.

• 技术与创新管理 • 上一篇    下一篇

基于三维信任网络的联合风险投资多属性群决策模型

赵萌1,2, 潘睿莹1, 肖启锐3   

  1. 1. 东北大学秦皇岛分校, 秦皇岛 066004;
    2. 东北大学工商管理学院, 沈阳 110819;
    3. 东北大学理学院, 沈阳 110819
  • 收稿日期:2018-04-13 发布日期:2021-07-03
  • 作者简介:赵萌,东北大学秦皇岛分校副教授,博士;潘睿莹,东北大学秦皇岛分校本科生;肖启锐,东北大学理学院硕士研究生。
  • 基金资助:
    国家自然科学基金青年项目(71701037;71601041);中央高校基本科研业务专项资金资助项目(N182304025)。

Multi-attribute Group Decision Making Model of the Venture Capital Syndication Based on Three-dimensional Trust Network

Zhao Meng1,2, Pan Ruiying1, Xiao Qirui3   

  1. 1. Northeastern University at Qinhuangdao, Qinhuangdao 066004;
    2. School of Business Administration, Northeastern University, Shenyang 110819;
    3. College of Science, Northeastern University, Shenyang 110819
  • Received:2018-04-13 Published:2021-07-03

摘要: 在信息不对称的情况下,联合风险投资决策呈现多属性群决策的特点,且在日趋网络化、社群化的背景下,机构之间的信任关系会影响决策结果。本文提出基于三维信任网络的联合风险投资多属性群决策模型。首先,将二维信任函数拓展为三维形式,通过对投资方相互投资和总投资次数确定信任矩阵并完成信任网络的搭建;其次,将概率语言集与信任评价相结合描述投资方的评价信息,体现风险投资决策模糊的特点;再次,引入可视化交互来提高群体一致性水平,并采用意见采纳因子平衡个体意见的独立性与群体一致性;最后,通过实例分析说明所提方法的实用性和决策结果的稳健性。

关键词: 风险投资, 联合投资, 多属性群决策, 社会网络, 概率语言术语集

Abstract: In the case of information asymmetry, the progress of joint venture investment decision-making presents the characteristics of multi-attribute group decision-making, and in the context of networking and socialization, the trust relationship among institutions will influence the decision-making results. This paper proposes a multi-attribute group decision-making model for joint venture investment based on three-dimensional trust network. Firstly, the two-dimensional trust function is expanded into a three-dimensional form. The trust network is established by determining the trust matrix based on the times of investment and corporation among the investors. Secondly, the probabilistic language set and the trust evaluation are combined to describe the evaluation information of the investors, reflecting the fuzzy characteristics of venture capitalists’ investment decision making. Thirdly, the group consensus is improved by introducing visual interactions, and the independence of individual opinions and group consensus are balanced by using opinion adoption factors. Finally, an example is given to illustrate the practicability of the proposed method and the robustness of the decision results.

Key words: venture capital, joint investment, multi-attribute group decision-making, social network, probabilistic linguistic term set