摘要
基于可信性理论,提出一类新的带有模糊约束的房地产投资随机期望值模型来处理房地产经济中的不确定性信息.另一方面,通过目标函数和可信性函数的一些性质将提出的房地产投资问题转化为一个等价的线性形式,从而可以利用经典的线性规划算法进行求解.最后,给出一个房地产投资问题的实例并通过Lindo软件进行求解.
Based on credibility theory, this paper presents a new class of real estate invest- ment stochastic expected value model with fuzzy constraints to deal with uncertain information in real estate economy. On the other hand, this paper will transform the real estate invest- ment problem into the equivalent linear form via some properties of the objective function and credibility function, which can be solved by classic algorithms of the linear programming. Finally, we will enumerate a practical example of the real estate investment problem and solve it by Lindo software.
出处
《数学的实践与认识》
CSCD
北大核心
2012年第19期18-23,共6页
Mathematics in Practice and Theory
基金
河北省科学技术研究与发展计划科研基金(114572110)
关键词
可信性理论
房地产投资
随机期望值模型
线性规划
Lindo软件
credibility theory
real estate investment
stochastic expected value model
linear programming
lindo software
