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A fuzzy risk attitude classification based on prospect theory

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cris.virtualsource.author-orcid82066f83-b28c-4205-ae6b-65560e5066d6
dc.contributor.authorLi, Yang
dc.contributor.authorPortmann, Edy
dc.date.accessioned2024-10-15T05:46:50Z
dc.date.available2024-10-15T05:46:50Z
dc.date.issued2012-11
dc.description.abstractTraditional methods do not actually measure peoples’ risk attitude naturally and precisely. Therefore, a fuzzy risk attitude classification method is developed. Since the prospect theory is usually considered as an effective model of decision making, the personalized parameters in prospect theory are firstly fuzzified to distinguish people with different risk attitudes, and then a fuzzy classification database schema is applied to calculate the exact value of risk value attitude and risk be- havior attitude. Finally, by applying a two-hierarchical clas- sification model, the precise value of synthetical risk attitude can be acquired.
dc.description.numberOfPages6
dc.description.sponsorshipInstitut für Wirtschaftsinformatik, Information Management
dc.identifier.doi10.7892/boris.45572
dc.identifier.publisherDOI10.1109/iFUZZY.2012.6409689
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/117412
dc.language.isoen
dc.publisherIEEE / Institute of Electrical and Electronics Engineers Incorporated
dc.publisher.placeTaichung, Taiwan
dc.relation.conferenceProceedings of the 2012 International Conference on Fuzzy Theory and Its Applications
dc.relation.isbn978-1-4673-2057-3
dc.relation.organizationDCD5A442BFBAE17DE0405C82790C4DE2
dc.relation.organizationDCD5A442BB9CE17DE0405C82790C4DE2
dc.subjectfuzzy classification
dc.subjectParameters
dc.subjectProspect Theory Application
dc.subjectRisk Attitude
dc.subject.ddc600 - Technology::650 - Management & public relations
dc.titleA fuzzy risk attitude classification based on prospect theory
dc.typeconference_item
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.conferenceDate16.-18.12.2012
oaire.citation.conferencePlaceNational Chung Hsing University, Taichung, Taiwan
oaire.citation.endPage143
oaire.citation.startPage137
oairecerif.author.affiliationInstitut für Wirtschaftsinformatik, Information Management
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.description.ispublishedpub
unibe.eprints.legacyId45572
unibe.refereedTRUE
unibe.subtype.conferencepaper

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