Abstract
The objective of our research is to build a statistical test that can evaluate the sensitivity of a portfolio selection model with fuzzy data. The central point and radius are used to determine the portfolio selection model and we make a decision for the best return by a fuzzy statistical test. Empirical studies are presented to illustrate the risk of the portfolio selection model with interval values. We conclude that the evaluation by the fuzzy statistical test enables us to obtain a stable expected return and low risk investment with different choices based on the risk level k, which is taken for the risk level.
Original language | English |
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Title of host publication | 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012 |
Pages | 1931-1937 |
Number of pages | 7 |
DOIs | |
Publication status | Published - 2012 |
Event | 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 - Kobe, Japan Duration: 2012 Nov 20 → 2012 Nov 24 |
Other
Other | 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 |
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Country/Territory | Japan |
City | Kobe |
Period | 12/11/20 → 12/11/24 |
Keywords
- Fuzzy probability distributions
- Fuzzy statistics and data analysis
- Optimization
- Portfolio selection
ASJC Scopus subject areas
- Artificial Intelligence
- Software