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Some implications of fuzzy set theory applied to geographic databases
Affiliation:1. Federal Reserve Bank of New York, NY, United States;2. Federal Reserve Bank of Dallas, TX, United States;3. The University of Melbourne, Australia
Abstract:Present geographic database design is based on Boolean logic. The inadequacy of this logic for representation and manipulation of inexact data has recently become a major topic of debate. This is a first attempt at formulating a consistent model for handling inexactness in geographic information systems by introducing a logic of inexactness. Fuzzy logic serves as the basis for representing and manipulating inexactness in a relational geographic database. Four distinct cases of nonfuzzy schema/nonfuzzy data, nonfuzzy schema/fuzzy data, fuzzy schema/ nonfuzzy data, and fuzzy schema/fuzzy data are presented. Two models of managing fuzzy data within a nonfuzzy schema are presented.
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