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dc.contributor.authorValerdi, Ricardo
dc.date.accessioned2014-01-15T19:27:01Z
dc.date.available2014-01-15T19:27:01Z
dc.date.issued2011-06-20
dc.identifier.urihttp://hdl.handle.net/1721.1/84018
dc.description.abstractThis paper discusses the notion of collective intelligence through the application of the Wideband Delphi method as a way to obtain convergence among a group of experts. The specific application is the definition and calibration of cost estimation models that use data collected from experts as part of their calibration. Convergence is important in this case because companies need to commit to cost estimates early in the planning cycle since so many other decisions are dependent on it. Our results demonstrate that, in most cases, convergence among experts can be achieved after three rounds of the Wideband Delphi.en_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectcollective intelligenceen_US
dc.subjectWideband Delphien_US
dc.subjectconvergenceen_US
dc.titleConvergence of Expert Opinion via the Wideband Delphi Method: An Application in Cost Estimation Modelsen_US
dc.typeTechnical Reporten_US


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