PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Hosni H., Masserotti M. V., Renso C. Imperfect information management in GIS: A logical-mathematical approach. The document will be submitted to Conference: International Workshop on supporting Imprecision and Uncertainty Inflexible Data Base-2004, Technical report, 2004.
 
 
Abstract
(English)
We survey the relevance of the maximum entropy inference process to the management of uncertainty in Geographic Information Systems. We show how the former constitutes a theoretically well-founded solution to problems that arise naturally in GIS facing imperfect information. We also put forward how, as a consequence of the encouraging developments on computational techniques for reasoning under maximum entropy, the latter must be considered as a most crucial approach to uncertainty management in various fields of GIS science.
Subject GIS Uncertainty Maximum Entropy
I.2.3 Deduction and Theorem Proving


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