Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)

The Extract Method of Engineering Management Index Based on Rough Set

Authors
Chen He, Xueliang Hou
Corresponding Author
Chen He
Available Online November 2017.
DOI
10.2991/amms-17.2017.56How to use a DOI?
Keywords
problem phenomena; index; parameter; rough set
Abstract

Index is very important for judging project implementation status or analyzes some problems in the process of engineering project management. The present method to determine index is mainly a professional empirical method and cannot fully meet the requirement of engineering project management. For the purpose of putting forward a scientific method, the paper first analyzes the path that how to obtain effective index based on diagnosis method of medicine and mechanical engineering. Moreover, with the guidance of rough set theory, a model to obtain characteristics and its parameters of problem phenomena is provided. According to the homeomorphous nature between index and parameter, the formula of their mapping relationships has been given. The results of this research are valuable theoretically and practically.

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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Volume Title
Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
Series
Advances in Intelligent Systems Research
Publication Date
November 2017
ISBN
978-94-6252-433-0
ISSN
1951-6851
DOI
10.2991/amms-17.2017.56How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Chen He
AU  - Xueliang Hou
PY  - 2017/11
DA  - 2017/11
TI  - The Extract Method of Engineering Management Index Based on Rough Set
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 253
EP  - 255
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.56
DO  - 10.2991/amms-17.2017.56
ID  - He2017/11
ER  -