A fuzzy risk attitude classification based on prospect theory
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BORIS DOI
Publisher DOI
Description
Traditional 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.
Date of Publication
2012-11
Publication Type
conference_item
Subject(s)
600 - Technology::650 - Management & public relations
Keyword(s)
fuzzy classification
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Parameters
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Prospect Theory Application
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Risk Attitude
Language(s)
en
Contributor(s)
Additional Credits
Institut für Wirtschaftsinformatik, Information Management
Publisher
IEEE / Institute of Electrical and Electronics Engineers Incorporated
ISBN
978-1-4673-2057-3
Access(Rights)
restricted