Research on the intelligent investment systems based on fuzzy clustering ensemble analysis

DOI

10.2991/ic3me-15.2015.63How to use a DOI?

Keywords

clustering analysis; fuzzy clustering; intelligent systems; securities investments

Abstract

This paper develops a fuzzy clustering method based on the fuzzy t-norm, and uses the data of China securities market to analyze the factors influencing the portfolio selection. Furthermore, this paper estimates an investment portfolio based on fuzzy clustering. The results show that the investor can learn the feature of securities. This method is very important for the portfolio selection.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wei Gao
AU  - Ruzhen Yan
PY  - 2015/08
DA  - 2015/08
TI  - Research on the intelligent investment systems based on fuzzy clustering ensemble analysis
BT  - Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering
PB  - Atlantis Press
SP  - 329
EP  - 332
SN  - 2352-5401
UR  - https://doi.org/10.2991/ic3me-15.2015.63
DO  - 10.2991/ic3me-15.2015.63
ID  - Gao2015/08
ER  -