区间数信息下的风险投资群决策评价研究

随着中国风险投资行业不断扩张,为了避免高风险,需要多位决策人员共同参与投资项目的评价。而决策人员面对复杂系统更适合以区间数给出评价。本文提出风险投资的3个评价指标,运用粒子群算法集结区间数信息,构建群决策全局最优偏好矩阵,采用可能度矩阵和排序向量法确定次序。最后的应用研究结果表明,该方法具有一定的可行性和科学性,有利于风险投资项目评价的发展。

Group Decision Making in Venture Capital with Interval Numbers

With decision makers are the expansion of China＇s venture capital industry, a number of required to be involved in the evaluation of investment projects in order to avoid high risk. The complex system the decision makers facing are more suitable to evaluate with intervals. This article used particle swarm optimization algorithm （PSO） to gather information of interval numbers and built preference matrix of group decision- making. Then possibility matrix method and sort vector method is applied to rank. At last, this article proposed three risk assessment indicators and took a case analysis to show that the method is feasible, scientific and conducive in the evaluation of venture capital projects.