Title: Homomorphisms between the covering information systems

Authors: Zengtai Gong; Runli Chai; Yongping Guo

Addresses: College of Mathematics and Statistics, Northwest Normal University, Lanzhou, 730070, China ' College of Mathematics and Statistics, Northwest Normal University, Lanzhou, 730070, China ' College of Mathematics and Statistics, Northwest Normal University, Lanzhou, 730070, China; The PBC Jiayuguan Sub-branch, Jiayuguan Gansu 735100, China

Abstract: The system of information is an important mathematical model in many fields, such as data mining, artificial intelligence, and machine learning. The relation or mapping is a popular method for exploring the communication between two systems of information. In this paper, we first introduce the concepts of the covering relation or mapping and the inverse covering relation or mapping between two covering systems of information and investigate their properties. Then, we propose the view of homomorphism of covering systems of information which are based on covering relation. Moreover, we prove that attribute reductions in the image system and original system are equivalent to each other under the conditions of homomorphism given in this paper.

Keywords: covering-based rough sets; homomorphism of information; attribute reductions.

DOI: 10.1504/IJCSE.2018.094415

International Journal of Computational Science and Engineering, 2018 Vol.17 No.1, pp.15 - 24

Received: 18 Dec 2015
Accepted: 12 Mar 2016
Published online: 03 Sep 2018 *

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