Abstract
The modeling of spatial relations is fundamental to the development of intelligent geographical information systems for applications in the geosciences. However, some spatial relations have an inherent fuzziness about them that is difficult to formalize. This paper presents a method and program for machine acquisition of fuzzy base relation near. Techniques from artificial intelligence such as adaptive parameter adjustment, generate and test, and heuristic search are used in a program to interrogate a user and construct a fuzzy base relation. Base spatial relations acquired through this program can be used subsequently to populate the knowledge base of a fuzzy knowledge-based system and provide more realistic answers to geographical queries.
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