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dc.contributor.authorMordeson, John N.en_US
dc.contributor.authorClark, Terry D.en_US
dc.contributor.authorDoyle, Beverlyen_US
dc.contributor.authorOlson, Lynnen_US
dc.date.accessioned2014-08-05en_US
dc.date.accessioned2016-06-07T19:20:18Z
dc.date.available2014-09-16T18:19:33Zen_US
dc.date.available2016-06-07T19:20:18Z
dc.date.issued2011-01-05en_US
dc.identifier.urihttp://hdl.handle.net/10504/63097
dc.description.abstractIn this paper, we present techniques involving mathematics of uncertainty that can be applied to several new research areas. Two of the areas are children with special needs and nuclear stability. Among the techniques given here are the Guiasu method, the analytic hierarchy process, Dempster-Shafer theory, and fuzzy preferences relations. The techniques are used to measure degrees of causality.en_US
dc.publisherCreighton Universityen_US
dc.rightsThis material is copyrighteden_US
dc.titleCausality: A Future Direction for Mathematics of Uncertaintyen_US
dc.typeJournal Articleen_US
dc.description.volume1en_US
dc.publisher.locationOmaha, Nebraskaen_US
dc.title.workQuest: A Journal of Undergraduate Student Researchen_US
dc.description.pages22 pages (Paper 3)en_US
dc.date.year2011en_US
dc.description.issue1en_US
dc.program.unitCollege of Arts and Sciencesen_US
dc.program.unitMathematicsen_US
dc.program.unitPolitical Scienceen_US
dc.program.unitEducationen_US
dc.contributor.cuauthorMordeson, John N.en_US
dc.contributor.cuauthorClark, Terry D.en_US
dc.contributor.cuauthorDoyle, Beverlyen_US
dc.contributor.cuauthorOlson, Lynnen_US


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    A Journal of Undergraduate Student Research

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