Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9187
DC FieldValueLanguage
dc.contributor.authorChristoforou, Andreas-
dc.contributor.authorAndreou, Andreas S.-
dc.contributor.otherΧριστοφόρου, Ανδρέας-
dc.contributor.otherΑνδρέου, Ανδρέας Σ.-
dc.date.accessioned2017-01-23T10:43:56Z-
dc.date.available2017-01-23T10:43:56Z-
dc.date.issued2015-08-25-
dc.identifier.citationIEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015; Istanbul; Turkey; 2 August 2015 through 5 August 2015en_US
dc.identifier.isbn978-146737428-6-
dc.identifier.issn1098-7584-
dc.description.abstractAs modern computing relies more and more on distributed solutions of services and resources over the cloud, the need of potential users to assess whether the transition from traditional software systems to the cloud would be to their benefit becomes even greater. Cloud vendors also seek ways to study beforehand the behavior of potential users with respect to their decision to adopt the cloud environment so as to take actions towards enhancing the positive side. Therefore, the study of the parameters forming the environment behind the cloud adoption decision is of paramount importance to both users and vendors. In this context the present paper proposes a multi-layer FCM approach which models a number of factors which play a decisive role to the cloud adoption issue and offers the means to study their influence. The factors are organized in different layers which focus on specific aspects of the cloud environment, something which, on one hand, enables tracking the causes for the decision outcome, and on the other offers the ability to study the dependencies between the leading determinants of the decision. The construction and analysis of the model is based on factors reported in the relevant literature and the utilization of experts' opinion. The efficacy and applicability of the proposed approach are demonstrated through four real-world experimental cases.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© IEEEen_US
dc.subjectCloud adoptionen_US
dc.subjectDecision supporten_US
dc.subjectMulti-layer fuzzy cognitive mapsen_US
dc.titleA Multilayer Fuzzy Cognitive Maps approach to the cloud adoption decision support problemen_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.conferenceIEEE International Conference on Fuzzy Systems (FUZZ-IEEE)en_US
dc.identifier.doi10.1109/FUZZ-IEEE.2015.7338056en_US
cut.common.academicyear2014-2015en_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.cerifentitytypePublications-
item.openairetypeconferenceObject-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0001-5598-8894-
crisitem.author.orcid0000-0001-7104-2097-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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