Fuzzy logic and applications in geographic information systems

Abstract

For a long time, the man has been looking for models to represent reality, however, based on traditional logic, we do not consider the complexities that surround ourselves. The Fuzzy logic, by basing itself on linguistic variables, approaches this reality, inserting the uncertainty as part of modeling of the problem. Its sets are more general, because it is attributed to an element the degree of relevance between 0 and 1, which may belong to multiple groups, thus, the applicability of this tool increases considerably, making it possible to assist in decision takings in areas such as health, industry and environment. In geographic information systems, especially to integrate and analyze spatial information, the Fuzzy tool proves to be very useful, generating optimization and accuracy in results of works, besides greater data refinement and showing transitional strips that are not detected by the common models.