A fuzzy risk attitude classification based on prospect theory
Options
BORIS DOI
Date of Publication
November 2012
Publication Type
Conference Paper
Division/Institute
Subject(s)
Publisher
IEEE / Institute of Electrical and Electronics Engineers Incorporated
Language
English
Publisher DOI
Uncontrolled Keywords
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.
File(s)
| File | File Type | Format | Size | License | Publisher/Copright statement | Content | |
|---|---|---|---|---|---|---|---|
| 1042-1.pdf | text | Adobe PDF | 647.5 KB | publisher | published |