Information structures in an incomplete information system: A granular computing viewpoint

DOI

10.2991/ijcis.11.1.89How to use a DOI?

Keywords

Granular computing; Incomplete information system; Information granule; Information structure; Inclusion degree; Characterization

Abstract

Granular computing is a essential mathematical tool in artificial intelligence. An incomplete information system is an important model and its basic structures are information structures. This paper investigates information structures in an incomplete information system from granular computing viewpoint, i.e., information structures are viewed as granular structures. Information structures in an incomplete information system are first described through set vectors. Then, dependence between information structures is depicted, and information distance for calculating the difference between information structures is proposed. Next, properties of information structures in an incomplete information system are given. Finally, group and lattice characterizations of information structures in an incomplete information system are obtained. These results will be helpful for establishing a framework of granular computing in information systems.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

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

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TY  - JOUR
AU  - Guangji Yu
PY  - 2018
DA  - 2018/06/04
TI  - Information structures in an incomplete information system: A granular computing viewpoint
JO  - International Journal of Computational Intelligence Systems
SP  - 1179
EP  - 1191
VL  - 11
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.11.1.89
DO  - 10.2991/ijcis.11.1.89
ID  - Yu2018
ER  -