A fuzzy grey cognitive maps-based decision support system for radiotherapy treatment planning

dc.contributor.author	Salmeron, Jose L.	en
dc.contributor.author	Παπαγεωργίου, Ελπινίκη Ι.	el
dc.date.accessioned	2015-05-24T10:54:45Z
dc.date.available	2015-05-24T10:54:45Z
dc.date.issued	2015-05-24
dc.identifier.uri	http://hdl.handle.net/11400/11033
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.sciencedirect.com/science/article/pii/S0950705112000172	en
dc.subject	Knowledge representation
dc.subject	Knowledge-based systems
dc.subject	Αναπαράσταση γνώσης
dc.subject	Συστήματα βασισμένα στη γνώση
dc.title	A fuzzy grey cognitive maps-based decision support system for radiotherapy treatment planning	en
heal.type	journalArticle
heal.classification	Technology
heal.classification	Computer science
heal.classification	Τεχνολογία
heal.classification	Πληροφορική
heal.classificationURI	http://zbw.eu/stw/descriptor/10470-6
heal.classificationURI	http://data.seab.gr/concepts/77de68daecd823babbb58edb1c8e14d7106e83bb
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Πληροφορική
heal.keywordURI	http://zbw.eu/stw/descriptor/29233-4
heal.identifier.secondary	doi:10.1016/j.knosys.2012.01.008
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε.	el
heal.publicationDate	2012
heal.bibliographicCitation	Salmeron, J. and Papageorgiou, E. (June 2012). A fuzzy grey cognitive maps-based decision support system for radiotherapy treatment planning. Knowledge-Based Systems. 30. pp. 151-160. Elsevier B.V: 2012. Available from: http://www.sciencedirect.com/science/article/pii/S0950705112000172 [Accessed 26/01/2012]	el
heal.abstract	Recently, Fuzzy Grey Cognitive Map (FGCM) has been proposed as a FCM extension. It is based on Grey System Theory, that it is focused on solving problems with high uncertainty, under discrete incomplete and small data sets. The FGCM nodes are variables, representing grey concepts. The relationships between nodes are represented by directed edges. An edge linking two nodes models the grey causal influence of the causal variable on the effect variable. Since FGCMs are hybrid methods mixing Grey Systems and Fuzzy Cognitive Maps, each cause is measured by its grey intensity. An improved construction process of FGCMs is presented in this study, proposing an intensity value to assign the vibration of the grey causal influence, thus to handle the trust of the causal influence on the effect variable initially prescribed by experts’ suggestions. The explored methodology is implemented in a well-known medical decision making problem pertaining to the problem of radiotherapy treatment planning selection, where the FCMs have previously proved their usefulness in decision support. Through the examined medical problem, the FGCMs demonstrate their functioning and dynamic capabilities to approximate better human decision making.	en
heal.publisher	Elsevier B.V.	en
heal.journalName	Knowledge-Based Systems	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true