Building Fuzzy Spatial Interaction Models

Since the work of Wilson (1970) there has been surprisingly little innovation in the design of spatial interaction models. The principal exceptions include the competing destinations version of Fotheringham (1983), the use of genetic algorithms to try and breed new forms of spatial interaction model, either directly (Openshaw, 1988) or by genetic programming (Turton et al., 1997) and the application of supervised artificial neural networks to model spatial interaction data (Openshaw, 1993; Fischer and Gopal, 1994). Clearly these latter methods will be developed much further over the next few years. The purpose of this Chapter is to initiate the development of a new class of spatial interaction models utilising the principles of fuzzy sets and fuzzy logic.

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