A perspective on geographic information systems and fuzzy sets

Abstract

Many aspects of geographic information systems (GIS) lend themselves to applications of fuzzy sets. Fuzzy databases, queries, and other areas of development have helped address problems in geographical information representation, management, query, and modeling. Cost, in a general sense, is an issue not generally considered when addressing the topic of fuzzy sets and GIS. By considering the issue of cost afresh perspective on the development of fuzzy sets in GIS applications is possible. A comparison of fuzzy versus nonfuzzy approaches shows that fuzzy logic-based approaches typically provide more detailed, useful information. As GIS becomes more complex, and intelligent, fuzzy logic-based methods will become a cost-effective approach for improving its problem-solving abilities.