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Spatial interpolation using conservative fuzzy reasoning

Wong, K.W., Gedeon, T. and Wong, P.M. (2001) Spatial interpolation using conservative fuzzy reasoning. In: Joint 9th IFSA World Congress and 20th NAFIPS International Conference, 25-27 July 2001, Vancouver, BC, Canada pp. 2825-2829.

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Spatial interpolation is an important feature of a Geographic Information System, which is the procedure used to estimate values at unknown locations within the area covered by existing observations. In this paper, we propose a conservative spatial interpolation technique that incorporates the advantages of local interpolation, Euclidean interpolation, and conservative fuzzy reasoning. The main objective of this paper is to formulate a computationally efficient spatial interpolation technique similar to the IDWA technique that can be used in real time application. The main feature of our spatial interpolation technique is inherited from the concept used in conservative fuzzy interpolation reasoning for interpolating fuzzy rules in sparse fuzzy rule bases. Illustration examples from a rainfall spatial interpolation problem are also used to illustrate the applicability of the proposed technique.

Item Type: Conference Paper
Murdoch Affiliation(s): School of Information Technology
Publisher: IEEE
Copyright: © 2001 IEEE
Notes: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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