Title: Demand for housing security in family lifecycle based on particle swarm optimisation fuzzy C-means clustering
Authors: Yuying Cui; Jinxin Tian; Zhiqing Li
Addresses: School of Management, Harbin Institute of Technology, 150001, China ' School of Management, Harbin Institute of Technology, 150001, China ' School of Management, Harbin Institute of Technology, 150001, China
Abstract: Because of the fuzzy and complexity characteristics, divided the demand for housing security becomes a problem. Fuzzy C-means clustering algorithm (FCM) is an efficient algorithm and is used commonly, but it is sensitive to setup initialisation and is prone to local minimum. This drawback can be alleviated by particle swarm optimisation (PSO), which possesses the effective ability of searching global optimal solution. Thus, a hybrid method combining the FCM and PSO is proposed. The numerical experiment results show that the method has better capabilities of comprehensive analysis which can divide the demand for housing security comprehensively and effectively.
Keywords: housing security; family lifecycle; particle swarm optimisation; PSO; fuzzy C-means; clustering algortihms; security demand.
International Journal of Modelling, Identification and Control, 2013 Vol.18 No.1, pp.61 - 68
Available online: 05 Feb 2013 *Full-text access for editors Access for subscribers Purchase this article Comment on this article