计算机工程与应用 ›› 2015, Vol. 51 ›› Issue (14): 35-39.

• 理论研究、研发设计 • 上一篇    下一篇

带有VaR方法的模糊NPV模型及其混合智能算法

袁国强1,刘晓俊1,朱建林2   

  1. 1.河北金融学院 基础科学部,河北 保定 071051
    2.中国人民大学 信息学院,北京 100083
  • 出版日期:2015-07-15 发布日期:2015-08-03

Fuzzy NPV model with VaR method and its hybrid intelligent algorithm

YUAN Guoqiang1, LIU Xiaojun1, ZHU Jianlin2   

  1. 1.Department of Fundamental Science, Hebei Finance University, Baoding, Hebei 071051, China
    2.School of Information, Renmin University of China, Beijing 100083, China
  • Online:2015-07-15 Published:2015-08-03

摘要: 基于可信性理论建立一类带有模糊VaR方法的NPV模型,并设计含有逼近方法、神经网络和遗传算法的混合智能算法对提出的模型进行求解。给出一个数值例子表明模型和算法的有效性。通过改变目标函数和可信性约束中的可信性水平对最优解进行灵敏度分析。

关键词: 资金预算问题, 净现值(NPV)模型, 模糊VaR方法, 逼近方法, 混合智能算法

Abstract: Based on credibility theory, this paper establishes a class of NPV model with fuzzy VaR method and designs hybrid intelligent algorithm, which contains approximation approach, neuron network and genetic algorithm, to solve the proposed model. A numerical example is presented to illustrate the effectiveness of the model and algorithm. The sensitivity analysis of optimal solution will be done through changing the credibility level of the objective function and credibility constraint.

Key words: capital budgeting problem, Net Present Value(NPV) model, fuzzy VaR method, approximation approach, hybrid intelligent algorithm