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Fuzzy Algorithms to Support Spatial Planning

In: Planning Support Systems in Practice

Author

Listed:
  • Dmitry Kurtener

    (Agrophysical Research Institute, St. Petersburg)

  • Vladimir Badenko

    (St. Petersburg State Technical University)

Abstract

It is argued that the process of application offuzzy set theory is very useful in supporting the process of decision-making in spatial planning. Combining a Geographical Information System (GIS) with applications offuzzy set theory is an appropriate methodology to support location choice and land suitability assessment. In this chapter, GIS Fuzzy Modelling (GISFM) is described and some models are defined. Some examples of the application of GISFM as a planning support tool for the analysis of environmental situations are presented.

Suggested Citation

  • Dmitry Kurtener & Vladimir Badenko, 2003. "Fuzzy Algorithms to Support Spatial Planning," Advances in Spatial Science, in: Stan Geertman & John Stillwell (ed.), Planning Support Systems in Practice, chapter 14, pages 249-265, Springer.
    • Handle: RePEc:spr:adspcp:978-3-540-24795-1_14
    DOI: 10.1007/978-3-540-24795-1_14
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