Fuzzy approaches to context variable in fuzzy geographically weighted
  clustering
  Fuzzy Geographically Weighted Clustering (FGWC) is considered as a suitable
tool for the analysis of geo-demographic data that assists the provision and
planning of products and services to local people. Context variables were
attached to FGWC in order to accelerate the computing 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. In
this paper, we propose two novel methods using fuzzy approaches for that
determination. A numerical example is given to illustrate the uses of the
proposed methods.
