多源异构数据环境下基于模糊积分融合的公租房退出方法

为有效解决公租房退出问题,提出一种基于多源异构数据的模糊积分融合退出方法,该退出方法首先给出一种多源异构数据的同构化方法,然后针对常用模糊测度确定方法原理复杂、计算困难的问题,提出一种原理简单、易于计算的模糊测度确定方法,该模糊测度确定方法利用单个属性的相对重要程度和两两属性之间的交互度计算单个属性的全局重要程度,最后,根据模糊测度的单调性和有界性通过专家逐级打分计算各子属性集的重要程度。实例验证表明所提出的退出方法可行、有效。

Public Rental Housing Exiting Method Based on Fuzzy Integral Fusionin Multi-source Heterogeneous Data Environment

To effectively solve the exiting problem of public rental housing, an exiting method is proposed. The exiting method can fuse multi-source heterogeneous data using fuzzy integral and fuzzy measure. In the exiting method, a standardization method of multi-source heterogeneous data is firstly given and then an identification method of fuzzy measure is proposed. It is simple and easy to calculate. The basic principle of the identification method is that the global importance degree of a single attribute is calculated using the relative importance degree of a single attribute and the interaction degree between attributes and the importance degree of the subset of attributes is calculated based on the monotonicity and boundedness of fuzzy measure using scoring method. Finally, an application example is analyzed to demonstrate the effectiveness and feasibility of the exiting method proposed in this paper.