Theoretical Research on Granular Computing and Artificial Selection Algorithm
Available Online June 2015.
- https://doi.org/10.2991/meici-15.2015.118How to use a DOI?
- Rough set; Granular computing; Binary granular matrix; Rough relationship matrix, Artificial Selection Algorithm.
- Today, with the rapid development of science and technology, knowledge and wisdom play greater roles and the evolution of artifacts is faster. The speed of artificial evolution cannot be followed by natural evolution. As a kind of new intelligent information processing technology, granular computing enjoys widespread concern of scholars. The constant integration of biological evolution, artificial life and calculation method has also been a hot research topic among scholars. The main findings of this paper include the following four parts: propose Rough set model based on granular computing; propose knowledge discovery algorithm based on granular computing; propose new project modeling method based on granular computing; propose Artificial Selection Algorithm (ASA) based on granular computing. This paper unifies the existing classic Rough set model, Rough set model based on probability and Rough set model based on inclusion degree all on the Rough set model based on granular computing.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Shoubai Xiao PY - 2015/06 DA - 2015/06 TI - Theoretical Research on Granular Computing and Artificial Selection Algorithm BT - 2015 International Conference on Management, Education, Information and Control PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/meici-15.2015.118 DO - https://doi.org/10.2991/meici-15.2015.118 ID - Xiao2015/06 ER -