1. Ktisis Cyprus University of Technology
  2. Cyprus University of Technology (Research Output)
  3. Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/13799
DC FieldValueLanguage
dc.contributor.authorAndreou, Andreas S.-
dc.contributor.authorMateou, Nicos H.-
dc.date.accessioned2019-05-24T10:54:02Z-
dc.date.available2019-05-24T10:54:02Z-
dc.date.issued2008-04-
dc.identifier.citation3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA, Damascus, Syrian Arab Republic, 7 April 2008 through 11 April 2008en_US
dc.identifier.isbn1424417511-
dc.description.abstractThis paper presents an improvement in the Fuzzy Cognitive Maps (FCMs) theory used in modelling dynamical systems. The dynamic behaviour of a system focuses on a stable behaviour reaching equilibrium state at fixed points. Multicollinearity in FCMs, is examined as a phenomenon possibly present in any dynamic modelling. Cases in which the activation level of a concept is constantly driven towards +1 or -1 are investigated. In addition, concepts stabilizing at levels other than those reflecting the actual environment are also considered. These experiments are performed by selectively inserting bias nodes in the map so as to increase the reliability of the dynamic model. Following the theoretical background of FCMs and the mathematical formulation of bias nodes we demonstrate their use and contribution in terms of a case study that deals with the Cyprus Issue in view of the Turkish full EU membership.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© IEEEen_US
dc.subjectFuzzy cognitive mapsen_US
dc.subjectComputer scienceen_US
dc.subjectIntelligent systemsen_US
dc.subjectInformation systemsen_US
dc.subjectLarge-scale systemsen_US
dc.subjectTuningen_US
dc.subjectInternational relationsen_US
dc.subjectLimit-cyclesen_US
dc.subjectChaosen_US
dc.subjectEquationsen_US
dc.titleFacing multicollinearity in a Fuzzy Cognitive Maps environment using bias nodesen_US
dc.typeConference Papersen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceInternational Conference on Information and Communication Technologiesen_US
dc.identifier.doi10.1109/ICTTA.2008.4530017en_US
dc.identifier.scopus2-s2.0-49149118968en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/49149118968en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
cut.common.academicyear2007-2008en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairetypeconferenceObject-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0001-7104-2097-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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