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dc.contributor.authorAgell Jané, Núria
dc.contributor.authorvan Ganzewinkel,, Christ Jan
dc.contributor.authorSánchez Soler, Monica
dc.contributor.authorRoselló Saurí, Llorenç
dc.contributor.authorPrats Duaygues, Francesc
dc.contributor.authorAndriessen, Peter
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtica Aplicada II
dc.date.accessioned2015-04-24T11:13:58Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationAgell, N. [et al.]. A new approach for Delphi processes based on group consensus with linguistic terms. A: IEEE International Conference on Fuzzy Systems. "2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)". Beijing: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 5-10.
dc.identifier.isbn978-1-4799-2073-0
dc.identifier.urihttp://hdl.handle.net/2117/27577
dc.description.abstractA new approach for Delphi processes including a measure of consensus based on linguistic terms is introduced in this paper. The measure of consensus involves qualitative reasoning techniques and is based on the concept of entropy. In the proposed approach, consensus is reached automatically without the need for neither a moderator nor a final interaction among panelists. In addition, it permits panelists to answer with different levels of precision depending on their knowledge on each question. An illustrative example considering the opinions of stake holders in neonate health-care to reach a final consensual definition of chronic pain in neonates is presented.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica
dc.subject.lcshNumerical analysis
dc.subject.otherQualitative Reasoning
dc.subject.otherGroup Decision systems
dc.subject.otherConsensus measures
dc.subject.otherKnowledge Management
dc.subject.otherKnowledge acquisition
dc.subject.otherDelphi technique
dc.titleA new approach for Delphi processes based on group consensus with linguistic terms
dc.typeConference lecture
dc.subject.lemacAnàlisi numèrica
dc.contributor.groupUniversitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement
dc.identifier.doi10.1109/FUZZ-IEEE.2014.6891645
dc.description.peerreviewedPeer Reviewed
dc.subject.ams65K Mathematical programming, optimization and variational techniques
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6891645
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac15181670
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorAgell, N.; van Ganzewinkel,, C.; Sanchez, M.; Rosello, L.; Prats, F.; Andriessen, P.
local.citation.contributorIEEE International Conference on Fuzzy Systems
local.citation.pubplaceBeijing
local.citation.publicationName2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
local.citation.startingPage5
local.citation.endingPage10


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