Paper Info
Title
Information structures in a covering information system
Abstract
A covering information system as the generalization of an information system is an important model in the field of artificial intelligence. This paper explores information structures in a covering information system, and this kind of structure is viewed as a granular structure from the granular computing viewpoint. The concept of information structures in a covering information system is first described by means of set vectors. Then, relationships between information structures in a covering information system are studied from the two aspects of dependence and separation. Next, properties of information structures in a covering information system are given. Furthermore, invariant characterizations of covering information systems under homomorphisms are presented. Finally, as an application for information structures in a covering information system, the granularity measure of uncertainty for covering information systems is investigated. These results will be very helpful for establishing a framework for granular computing in information systems.
Year
DOI
Venue
2020
10.1016/j.ins.2018.09.048
Information Sciences
Keywords
Field
DocType
Covering information system,Information granule,Information structure,Dependence,Information distance,Inclusion degree,Information granularity,Characterization
Information system,Theoretical computer science,Granular computing,Homomorphism,Invariant (mathematics),Artificial intelligence,Granularity,Machine learning,Mathematics
Journal
Volume
ISSN
Citations 
507
0020-0255
3
PageRank 
References 
Authors
0.36
30
6
Name
Order
Citations
PageRank
Zhaowen Li113616.20
Zhaowen Li213616.20
Dan Huang330.36
Xiaofeng Liu47323.87
Ningxin Xie5698.08
Gangqiang Zhang6468.63