Incorporating Fuzzy Logic Methodologies into GIS Operations

Stefanakis, E; Vazirgiannis, M; Sellis, T

dc.contributor.author	Stefanakis, E	en
dc.contributor.author	Vazirgiannis, M	en
dc.contributor.author	Sellis, T	en
dc.date.accessioned	2014-03-01T01:44:23Z
dc.date.available	2014-03-01T01:44:23Z
dc.date.issued	1996	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/24348
dc.subject	Fuzzy Logic	en
dc.subject	Geographic Information System	en
dc.subject	Information System	en
dc.subject	System Design	en
dc.title	Incorporating Fuzzy Logic Methodologies into GIS Operations	en
heal.type	journalArticle	en
heal.publicationDate	1996	en
heal.abstract	. At present, Geographic Information Systems (GIS) thoughpowerful toolboxes, most with hundreds of functions, they suffer fromseveral limitations which render them inefficient tools for spatial decisionmaking.This paper focuses on the inappropriate logical foundation incorporatedinto them and examines the necessity of adopting fuzzy logicmethodologies in GIS operations.1 IntroductionGeographic Information Systems (GIS) are computer-based systems designed tosupport the capture,...	en