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Flexible Query Answering Systems pp 103–116Cite as

Combining Fuzzy Sets and Databases in Multiple Criteria Spatial Decision Making

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Part of the book series: Advances in Soft Computing ((AINSC,volume 7))

Abstract

Spatial decision making is a fundamental function of contemporary Geographic Information Systems (GIS). One of the most fertile GIS development areas is integrating multiple criteria decision models (MCDM) into GIS querying mechanisms. The classic approach for this integration has been to use Boolean techniques of MCDM with crisp representations of spatial objects (features) to produce static maps as query answers. By implementing: 1) fuzzy set membership as a method for representing the performance of decision alternatives on evaluation criteria, 2) fuzzy methods for both criteria weighting and capturing geographic preferences, and 3) fuzzy object oriented spatial databases for feature storage, it is possible to visually represent query results more precisely. This will allow decision makers to be more informed, and thus, more correct. We conclude the paper with future research directions and implementation prototype strategies.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Idaho, Moscow Idaho, USA

    Ashley Morris

  2. Department of Geography, University of Idaho, Moscow Idaho, USA

    Piotr Jankowski

Authors
  1. Ashley Morris
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  2. Piotr Jankowski
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Editor information

Editors and Affiliations

  1. Computer Science Department, Roskilde University, P.O. Box 260, 4000, Roskilde, Denmark

    Henrik L. Larsen , Troels Andreasen  & Henning Christiansen ,  & 

  2. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk  & Sławomir Zadrożny  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Morris, A., Jankowski, P. (2001). Combining Fuzzy Sets and Databases in Multiple Criteria Spatial Decision Making. In: Larsen, H.L., Andreasen, T., Christiansen, H., Kacprzyk, J., Zadrożny, S. (eds) Flexible Query Answering Systems. Advances in Soft Computing, vol 7. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1834-5_10

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  • DOI: https://doi.org/10.1007/978-3-7908-1834-5_10

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1347-0

  • Online ISBN: 978-3-7908-1834-5

  • eBook Packages: Springer Book Archive

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