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dc.contributor.authorHassall, John
dc.date.accessioned2007-04-26T10:32:35Z
dc.date.available2007-04-26T10:32:35Z
dc.date.issued1999-09
dc.date.submitted2007-04-26
dc.identifier.issn1363-6839
dc.identifier.urihttp://hdl.handle.net/2436/11373
dc.description.abstractTwo methods of analysing interval/ordinal questionnaire data based upon principles from fuzzy mathematics and artificial intelligence are described.
dc.format.extent72351 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherUniversity of Wolverhampton
dc.relation.ispartofseriesWorking paper
dc.relation.ispartofseriesWP 011/99
dc.relation.urlhttp://www.wlv.ac.uk/PDF/uwbs_WP011-99%20Hassall.pdf
dc.subjectFuzzy mathematics
dc.subjectArtificial Intelligence
dc.subjectQuestionnaires
dc.titleMethods of analysing ordinal/interval questionnaire data using fuzzy mathematical principle
dc.typeWorking paper
refterms.dateFOA2018-08-21T09:45:07Z
html.description.abstractTwo methods of analysing interval/ordinal questionnaire data based upon principles from fuzzy mathematics and artificial intelligence are described.


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