About: A FUZZY-MINING APPROACH FOR SOLVING RULE BASED EXPERT SYSTEM UNWIELDINESS IN MEDICAL DOMAIN

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Over the years, one of the challenges of a rule based expert system is the possibility of evolving a compact and consistent knowledge-base with a fewer numbers of rules that are relevant to the application domain, in order to enhance the comprehensibility of the expert system. In this paper, the hybrid of fuzzy rule mining interestingness measures and fuzzy expert system is exploited as a means of solving the problem of unwieldiness and maintenance complication in the rule based expert system. This negatively increases the knowledge-base space complexity and reduces rule access rate which impedes system response time. To validate this concept, the Coronary Heart Disease risk ratio determination is used as the case study. Results of fuzzy expert system with a fewer numbers of rules and fuzzy expert system with a large numbers of rules are presented for comparison. Moreover, the effect of fuzzy linguistic variable risk ratio is investigated. This makes the expert system recommendation close to human perception. Over the years, one of the challenges of a rule based expert system is the possibility of evolving a compact and consistent knowledge-base with a fewer numbers of rules that are relevant to the application domain, in order to enhance the comprehensibility of the expert system. In this paper, the hybrid of fuzzy rule mining interestingness measures and fuzzy expert system is exploited as a means of solving the problem of unwieldiness and maintenance complication in the rule based expert system. This negatively increases the knowledge-base space complexity and reduces rule access rate which impedes system response time. To validate this concept, the Coronary Heart Disease risk ratio determination is used as the case study. Results of fuzzy expert system with a fewer numbers of rules and fuzzy expert system with a large numbers of rules are presented for comparison. Moreover, the effect of fuzzy linguistic variable risk ratio is investigated. This makes the expert system recommendation close to human perception. (en)
Title	A FUZZY-MINING APPROACH FOR SOLVING RULE BASED EXPERT SYSTEM UNWIELDINESS IN MEDICAL DOMAIN A FUZZY-MINING APPROACH FOR SOLVING RULE BASED EXPERT SYSTEM UNWIELDINESS IN MEDICAL DOMAIN (en)
skos:prefLabel	A FUZZY-MINING APPROACH FOR SOLVING RULE BASED EXPERT SYSTEM UNWIELDINESS IN MEDICAL DOMAIN A FUZZY-MINING APPROACH FOR SOLVING RULE BASED EXPERT SYSTEM UNWIELDINESS IN MEDICAL DOMAIN (en)
skos:notation	RIV/61989100:27740/13:86089191!RIV14-MSM-27740___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(ED1.1.00/02.0070), P(EE.2.3.20.0073)
http://linked.open...iv/cisloPeriodika	5
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Snášel, Václav Abraham Padath, Ajith
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / IT4Innovations
http://linked.open...dnocenehoVysledku	58627
http://linked.open...ai/riv/idVysledku	RIV/61989100:27740/13:86089191
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	rule support and confidence; Coronary Heart Disease (CHD); Fuzzy expert system (FES); Expert system (ES) (en)
http://linked.open.../riv/klicoveSlovo	Coronary Heart Disease (CHD) Expert system (ES) rule support and confidence Fuzzy expert system (FES)
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[690D6DC814B8]
http://linked.open...i/riv/nazevZdroje	Neural Network World
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Bio-Inspired Methods: research, development and knowledge transfer IT4Innovations Centre of Excellence
http://linked.open...UplatneniVysledku	2013
http://linked.open...v/svazekPeriodika	23
http://linked.open...iv/tvurceVysledku	Abraham Padath, Ajith Snášel, Václav Charles, Ayo K. Charles, Uwadia O. Olufunke, Oladipupo O
http://linked.open...ain/vavai/riv/wos	000328097600004
issn	1210-0552
number of pages	16 (xsd:int)
http://localhost/t...ganizacniJednotka	27740

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