Fuzzy Logic Approaches to Spatial Knowledge Representation and Inference

Yee Leung
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Yee Leung: The Chinese University of Hong Kong

Chapter 3 in Intelligent Spatial Decision Support Systems, 1997, pp 59-124 from Springer

Abstract: 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.

Keywords: Fuzzy Logic; Fuzzy Subset; Fuzzy Relation; Possibility Distribution; Extension Principle (search for similar items in EconPapers)
Date: 1997
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DOI: 10.1007/978-3-642-60714-1_3

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