Li, Yang; Portmann, Edy (November 2012). A fuzzy risk attitude classification based on prospect theory. In: Proceedings of the 2012 International Conference on Fuzzy Theory and Its Applications (pp. 137-143). Taichung, Taiwan: IEEE / Institute of Electrical and Electronics Engineers Incorporated 10.1109/iFUZZY.2012.6409689
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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.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
Division/Institute: |
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Management 03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems |
UniBE Contributor: |
Portmann, Edy |
Subjects: |
600 Technology > 650 Management & public relations |
ISBN: |
978-1-4673-2057-3 |
Publisher: |
IEEE / Institute of Electrical and Electronics Engineers Incorporated |
Language: |
English |
Submitter: |
Sara D'Onofrio |
Date Deposited: |
03 Apr 2014 16:06 |
Last Modified: |
05 Dec 2022 14:30 |
Publisher DOI: |
10.1109/iFUZZY.2012.6409689 |
Uncontrolled Keywords: |
fuzzy classification, Parameters, Prospect Theory Application, Risk Attitude |
BORIS DOI: |
10.7892/boris.45572 |
URI: |
https://boris.unibe.ch/id/eprint/45572 |
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