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Making use of social prototypes: From fuzzy concepts to firm decisions

dc.contributor.authorNiedenthal, Paula M.en_US
dc.contributor.authorCantor, Nancyen_US
dc.date.accessioned2006-04-07T18:19:45Z
dc.date.available2006-04-07T18:19:45Z
dc.date.issued1984-09en_US
dc.identifier.citationNiedenthal, Paula M., Cantor, Nancy (1984/09)."Making use of social prototypes: From fuzzy concepts to firm decisions." Fuzzy Sets and Systems 14(1): 5-27. <http://hdl.handle.net/2027.42/24702>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V05-48MYHJS-3/2/c2a9c89c121dd4783dfd9a8266b8d60een_US
dc.identifier.urihttps://hdl.handle.net/2027.42/24702
dc.description.abstractEvidence suggestive of the `fuzzy' structure of many natural language (as opposed to scientific) categories is reviewed. Examples are drawn from categorization schemes for objects, such as cars, fruit or tables, as well as for people, such as extroverts, hippies and `fraternity types'. It is argued that despite the fuzziness of natural categories, there is orderliness and utility to these concepts, as well. Specifically, natural categories are organized around prototypes, representative category members, which serve as reference points for the category. The identification of category members involves a prototype-matching process. Prototypes about `kinds of people' can be very useful in decisions about people with whom to affiliate and places in which to live. This process was illustrated by reference to a case analysis of students' preferences for university housing. It was concluded that natural categories may well be fuzzy, but they are far from being dispensible.en_US
dc.format.extent1612208 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleMaking use of social prototypes: From fuzzy concepts to firm decisionsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumInstitute for Social Research, University of Michigan, Ann Arbor, MI 48106, USAen_US
dc.contributor.affiliationumInstitute for Social Research, University of Michigan, Ann Arbor, MI 48106, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/24702/1/0000121.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0165-0114(84)90003-4en_US
dc.identifier.sourceFuzzy Sets and Systemsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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