Supporting the management of measurement
network with an expert system

dc.contributor.author	Σπυριδάκος, Θανάσης	el
dc.contributor.author	Πιερράκος, Γεώργιος	el
dc.contributor.author	Μεταξάς, Βλάσης	el
dc.contributor.author	Λογοθέτη, Σοφία	el
dc.date.accessioned	2015-04-19T11:35:47Z
dc.date.available	2015-04-19T11:35:47Z
dc.date.issued	2015-04-19
dc.identifier.uri	http://hdl.handle.net/11400/8551
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.springerlink.com/content/3r2mmv8pp4p064g3/	el
dc.subject	Decision support systems
dc.subject	Expert systems (Computer science)
dc.subject	Συστήματα υποστήριξης αποφάσεων
dc.subject	Έμπειρα συστήματα
dc.title	Supporting the management of measurement network with an expert system	el
heal.type	journalArticle
heal.secondaryTitle	the NeMO System	el
heal.classification	Computer science
heal.classification	Public health
heal.classification	Πληροφορική
heal.classification	Δημόσια υγεία
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.classificationURI	http://lod.nal.usda.gov/28292
heal.classificationURI	N/A-Πληροφορική
heal.classificationURI	N/A-Δημόσια υγεία
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh86006549
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85046450
heal.identifier.secondary	DOI: 10.1007/BF02944313
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Διοίκησης και Οικονομίας. Τμήμα Διοίκησης Μονάδων Υγείας και Πρόνοιας.	el
heal.publicationDate	2005-05
heal.bibliographicCitation	Spyridakos, Th., Pierrakos, G., Metaxas, V. and Logotheti, S. (2005). Supporting the management of measurement network with an expert system: the NeMO System. Operational Research 5(2). May - August 2005. pp. 273-288. Available from: http://www.springerlink.com/content/3r2mmv8pp4p064g3/	en
heal.abstract	The Rule Based Expert Systems (RBES) constitute a powerful tool to support the decision making procedures in cases where there is not the desirable degree of structure (unstructured or semi-structure) stemming from the fact that the problem of decision-making is complex or there is no formed decision or there is no step-by-step procedure that can be used to support the Decision Maker effectively. This paper presents a real world case study regarding the management of the water supply meters network, which constitutes an unstructured problem of decision-making. The application of a Rule Base Expert System encapsulating knowledge obtained from the data analysis of the Consumer Recording system as well as from the expression of expert knowledge was an efficient solution in determining the meters suspected of under-recording water consumption as well the degree of under-measurement. Finally this research work concludes with the design of a schedule for the replacement and maintenance of the water consumption meters. The system NeMO (Network Measurement Optimisation), a Rule Based Expert Systems, was developed for this Decision Problem with the aim of providing both a cost-effective way and an efficient tool to improve the precise accuracy of water measurement and the relative positive results for the water supply organization.	en
heal.journalName	Επιχειρησιακή Έρευνα	el
heal.journalName	Operational Research	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true