Suitability Maps Based on the LSP Method

Authors:
Jozo J. Dujmović;Guy Tré;Nico Weghe
Affiliations:
Department of Computer Science, San Francisco State University, San Francisco, U.S.A. CA 94132;Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium B-9000;Department of Geography, Ghent University, Ghent, Belgium B-9000
Venue:
MDAI '08 Sabadell Proceedings of the 5th International Conference on Modeling Decisions for Artificial Intelligence
Year:
2008

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Abstract

In this paper we propose the concept of logically aggregated geographic suitability maps(S-maps). The goal of S-maps is to provide specialized maps of the suitability degree of a selected geographic region for a specific purpose. There is a wide spectrum of purposes which include suitability for industrial development, agriculture, housing, education, recreation, etc. Our goals are to specify main concepts of S-maps development, and to identify some of the potential application areas. Our approach is based on soft computing with partial truth and graded logic functions within the framework of the LSP method.