出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Fuzzy Geographically Weighted Clustering (FGWC) is considered as a suitable tool for theanalysis of geo-demographic data that assists the provision and planning of products andservices to local people. Context variables were attached to FGWC in order to accelerate thecomputing speed of the algorithm and to focus the results on the domain of interests.Nonetheless, the determination of exact, crisp values of the context variable is a hard task. Inthis paper, we propose two novel methods using fuzzy approaches for that determination. Anumerical example is given to illustrate the uses of the proposed methods.
