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基于多目标规划的房地产投资决策研究
Research of Real Estate Investment Decision Based on Multi-Objective Programming
【作者】 李会峰;
【导师】 金维兴;
【作者基本信息】 西安建筑科技大学 , 管理科学与工程, 2005, 硕士
【摘要】 本文以房地产投资决策为研究对象,通过系统地分析其国内外应用与研究现状,指出存在问题,认为现行多数房地产投资决策方法属于单目标、确定型决策方法,对具有多目标性、风险性的房地产投资决策不适合,本文经过研究分析认为,运用多目标规划方法可以有效地解决这类问题。 本文以多目标规划理论为指导,建立了多目标房地产投资决策模型,在参数确定中,重点采用了贝叶斯公式对风险概率进行修正,然后,深入分析了现行多目标决策求解方法,在此基础上,确定出本文模型所采用的求解方法(线性加权和法),在求解过程中,运用期望效用值法对损益值矩阵进行转化,并采用模糊迭代法确定了目标权重,使模型计算得以顺利实现,最后,将模型应用于房地产投资决策实例中,经过实例研究证明,该模型能够较全面地考虑房地产投资的特点,能够较全面地综合评价各投资方案,有助于正确决策。
【Abstract】 The paper’s research target is the investment decision of the real estate, it systematically analyses the present situation of the research at home and abroad, and points out the problem, it point that the current real estate investment decision means is single target and assured means, which are not adapt to apply to the real estate investment decision, after studying and analyzing, it point that the Multi-objective programming theory applying to the real estate investment decision is a good solution.The paper based on the Multi-objective programming theory, and establishes the model of the multi-objective real estate investment decision, it applies Bayesian Formula to ascertain the risk probability, then it analyses the current solution means of the Multi-objective programming theory, and ascertain the solution means, and in the course of the solution, it adopts Expected Utility to transform the matrix, and it adopts Obscure Iterative means to ascertain the target rights, thus, the model’s solution is solved. Finally, it applies and analyses the model of the multi-objective real estate investment decision to the actual example, and it proved that the model overall think over the real estate investment decision trait, and it also evaluate overall the real estate investment decision project, which contribute to raise the correct decision.
【Key words】 Real Estate Investment Decision; Multi-Objective Programming; Expected Utility; Bayesian Formula; Obscure Iterative Means;
- 【网络出版投稿人】 西安建筑科技大学 【网络出版年期】2005年 05期
- 【分类号】F293.3
- 【被引频次】10
- 【下载频次】825