文献类型：期刊文献

中文题名：基于时间度的风险型动态灰色多属决策方法

英文题名：Risk Type Dynamic Grey Multi-Attribute Decision-Making Methods Based on Time Degree

作者：王霞[1]

第一作者：王霞

机构：[1]河南财经政法大学工商管理学院,郑州450046

第一机构：河南财经政法大学工商管理学院

年份：2019

卷号：55

期号：2

起止页码：44-49

中文期刊名：计算机工程与应用

外文期刊名：Computer Engineering and Applications

收录：CSTPCD;;北大核心:【北大核心2017】；CSCD:【CSCD_E2019_2020】；

基金：国家社科青年基金(No.16CJY060);河南省高等学校重点科研项目(No.18A120006);河南省社科规划项目(No.2017-BJJ-007);河南省软科学研究计划项目(No.172400410509)

语种：中文

中文关键词：区间灰数;时间度;前景理论;前景价值函数

外文关键词：interval grey number;time degree;prospect theory;prospect value function

摘要：针对方案属性值为区间灰数的动态多属性决策问题,提出了一种基于前景理论的动态多属性决策方法。定义了区间灰数新的距离测度;鉴于被评价对象在时序上的差异信息和波动性,建立了基于熵和时间度的确定时间权重的优化模型;以两两方案互为参考点确定了前景价值函数,由此构建了求解最优权向量的优化模型,最后以方案的综合前景值对方案进行排序。通过实例说明了该方法的合理性和有效性。
With regard to dynamic multi-attribute decision-making problems, in which the attribute value of alternatives is interval grey number, a dynamic multi-attribute decision making method based on prospect theory is proposed. Distance measure of interval grey number is defined. In view of differences and volatility of the evaluation objects in the timing, an optimized model based on entropy and time degree is built to determine time weight. The prospect value function is determined with reference to each other alternatives, and a multi-index optimization model can be built to solve the optimum weight vector, then the alternatives are ranked based on integrated prospect values. An example is also presented to illustrate the usefulness and effectiveness of the proposed method.