Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

A Decision Analysis Method Based on Rough Set

Authors
Shenghai Chen, Zongyan Jiang, Chao Duan, Xuejing Dai, Xianwu Mi
Corresponding Author
Shenghai Chen
Available Online December 2018.
DOI
10.2991/tlicsc-18.2018.8How to use a DOI?
Keywords
rough set; rules, rule set; evaluation metrics; decision analysis.
Abstract

Rough sets theory provides a good method for getting excellent decision rules set with the conduct of reduction from the decision table. This paper describes many evaluation metrics of decision rules, analyzes the properties for these evaluation metrics. Then it presents the evaluation metrics for rule set, which globally shows the properties of a rule set. And the evaluation system plays an important role for one try to choose the right decision rules in the research of rough set theory.

Copyright
© 2018, 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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Volume Title
Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
Series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
10.2991/tlicsc-18.2018.8How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

TY  - CONF
AU  - Shenghai Chen
AU  - Zongyan Jiang
AU  - Chao Duan
AU  - Xuejing Dai
AU  - Xianwu Mi
PY  - 2018/12
DA  - 2018/12
TI  - A Decision Analysis Method Based on Rough Set
BT  - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SP  - 50
EP  - 56
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.8
DO  - 10.2991/tlicsc-18.2018.8
ID  - Chen2018/12
ER  -