Abstract
In Chapter 2, knowledge is assumed to be exact and a statement or an inference is either true or false. However, human knowledge is often inexact and our inference often consists of a certain level of uncertainty. While uncertainty is of various sources (Graham and Jones, 1988; Klir, 1988; Leung, 1988a), the one stems from imprecision is rampant in human systems. To represent and infer with such knowledge, we need a logical system which can handle imprecision. Among existing paradigms, fuzzy logic appears to be instrumental in processing imprecision in SDSS.
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© 1997 Springer-Verlag Berlin
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Leung, Y. (1997). Fuzzy Logic Approaches to Spatial Knowledge Representation and Inference. In: Intelligent Spatial Decision Support Systems. Advances in Spatial Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60714-1_3
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DOI: https://doi.org/10.1007/978-3-642-60714-1_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-64521-1
Online ISBN: 978-3-642-60714-1
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