Information granularity of soft sets

DOI

10.2991/wartia-16.2016.371How to use a DOI?

Keywords

Soft set, Granular computing, Information granularity, Information entropy

Abstract

Soft set theory, proposed by Molodtsov, has been regarded as an effective mathematical tool for dealing with uncertainties. This paper is devoted to the study of uncertainty measures of soft sets in the framework of granular computing. The similarity relation induced by a soft set is proposed and the related fuzzy granular structure is constructed. The notions of information granularity and information entropy of a soft set are introduced. Some formulas are presented to calculate them.

Copyright

© 2016, 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  - Yaya Liu
AU  - Keyun Qin
PY  - 2016/05
DA  - 2016/05
TI  - Information granularity of soft sets
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1871
EP  - 1876
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.371
DO  - 10.2991/wartia-16.2016.371
ID  - Liu2016/05
ER  -