摘要
本文使用多属性决策方法进行供应链风险评估,在风险属性权重信息不完全的情况下,建立非线性规划模型求得各风险属性的权重值,并通过求与理想解之间的加权欧氏距离来评估风险值的大小,解决了评估专家由于知识、经验和偏好不完全相同而意见难以统一的困难,最后用一个例子说明了该方法的有效性和实用性。
This paper opplies multi-attribute decision making method to assess supply chain risk. The pape establishes nonlinear programming model to calculate weight value of risk＇ s attributes under the condition of incomplete weight information, and evaluate the risk by seeking weighted Euclidean distance, solve the problem that the opinions can not be unified because of different knowledge, experiences and preferences. An example was proposed to illustrate the efficiency and applicability of this method.
出处
《财务与金融》
北大核心
2008年第6期50-54,共5页
Accounting and Finance
基金
国家自然科学基金
项目号G010301
关键词
供应链风险评估
多属性决策
非线性规划
加权欧氏距离
Supply chain risk assessment, Multi-attribute decision making, Nonlinear programming, weighted Euclidean distance
