Theoretical Research on Granular Computing and Artificial Selection Algorithm

DOI

10.2991/meici-15.2015.118How to use a DOI?

Keywords

Rough set; Granular computing; Binary granular matrix; Rough relationship matrix, Artificial Selection Algorithm.

Abstract

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.

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  - Shoubai Xiao
PY  - 2015/06
DA  - 2015/06
TI  - Theoretical Research on Granular Computing and Artificial Selection Algorithm
BT  - Proceedings of the 2015 International Conference on Management, Education, Information and Control
PB  - Atlantis Press
SP  - 672
EP  - 678
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-15.2015.118
DO  - 10.2991/meici-15.2015.118
ID  - Xiao2015/06
ER  -