Local and Global Measurements of MGRS Rules

DOI

10.1080/18756891.2012.747655How to use a DOI?

Keywords

Certainty factor, coverage factor, decision rule, multigranulation rough set, support factor

Abstract

Since the multigranulation rough sets (MGRS) can be considered as the compositions of multi–independent Pawlak's rough sets, the multigranulation rough set rules (MGRS rules) are then the compositions of decision rules, which are supported by multi–independent Pawlak's rough sets. To measure MGRS rules, both the local and global views are employed in this paper. In local view, the support, certainty and coverage factors are proposed to measure MGRS rules, which are support by an object; while in global view, these three factors are proposed to measure MGRS rules, which are coexisting in a decision system. The necessary conditions for these factors to achieve maximal and minimal values are also addressed. Some numerical examples are employed to substantiate the conceptual arguments.

Copyright

© 2017, 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  - JOUR
AU  - Xibei Yang
AU  - Yanqin Zhang
AU  - Jingyu Yang
PY  - 2012
DA  - 2012/11/01
TI  - Local and Global Measurements of MGRS Rules
JO  - International Journal of Computational Intelligence Systems
SP  - 1010
EP  - 1024
VL  - 5
IS  - 6
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2012.747655
DO  - 10.1080/18756891.2012.747655
ID  - Yang2012
ER  -