Making use of social prototypes: From fuzzy concepts to firm decisions
dc.contributor.author | Niedenthal, Paula M. | en_US |
dc.contributor.author | Cantor, Nancy | en_US |
dc.date.accessioned | 2006-04-07T18:19:45Z | |
dc.date.available | 2006-04-07T18:19:45Z | |
dc.date.issued | 1984-09 | en_US |
dc.identifier.citation | Niedenthal, 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.uri | http://www.sciencedirect.com/science/article/B6V05-48MYHJS-3/2/c2a9c89c121dd4783dfd9a8266b8d60e | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/24702 | |
dc.description.abstract | Evidence 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.extent | 1612208 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Making use of social prototypes: From fuzzy concepts to firm decisions | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA | en_US |
dc.contributor.affiliationum | Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/24702/1/0000121.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0165-0114(84)90003-4 | en_US |
dc.identifier.source | Fuzzy Sets and Systems | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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