AI techniques for decision making systems : a survey

dc.contributor.author	Buddhika, KT
dc.contributor.author	Jayamanne, DP
dc.contributor.author	Wijegunawardana, PP
dc.contributor.author	Gunasekera, RC
dc.contributor.author	Perera, AS
dc.date.accessioned	2013-10-21T02:12:17Z
dc.date.available	2013-10-21T02:12:17Z
dc.identifier.uri	http://dl.lib.mrt.ac.lk/handle/123/8046
dc.description.abstract	Accurate Decision Making is a key aspect of a successful business organization. Manual decision making has become exceedingly difficult because of the availability of large data volumes and business complexity. This survey paper is intended to identify different technologies that have potential to be used in decision making systems, analyze current approaches which utilize those technologies and discuss advantages and disadvantages in using them for decision making in travel industry. The main decision making technologies involved in this paper are Artificial Neural Networks, Decision trees and Neuro-fuzzy systems.
dc.language	en
dc.title	AI techniques for decision making systems : a survey
dc.type	Conference-Extended-Abstract
dc.identifier.year	2011
dc.identifier.conference	Excellence in Research, Excelling a Nation
dc.identifier.place	Faculty of Engineering, University of Moratuwa
dc.identifier.pgnos	pp. 1-3
dc.identifier.proceeding	17th Annual Research Symposium on Excellence in Research, Excelling a Nation