Proceedings of the 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018)

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Green Industry Evaluation Index System Based on Cluster Rough Set Analysis

Authors
Xinyue Yang
Corresponding Author
Xinyue Yang
Available Online January 2019.
DOI
10.2991/mmssa-18.2019.34How to use a DOI?
Keywords
green industry evaluation; cluster; rough set; evaluation index system
Abstract

Building a reasonable green industry evaluation index system is the key to green industry evaluation. According to the connotation of green industry, the criterion of eliminating information duplication index and the criterion of screening the index with the largest quality coefficient of approximate classification, the evaluation index system of green industry by using the method of R clustering-roughness analysis is constructed in this paper. The main innovations and characteristics are as follows: Firstly, the evaluation indexes are clustered into criteria by the method of deviation squares to ensure that the response information of different indexes after screening is not duplicated. Secondly, rough set analysis is used to solve the approximate classification quality coefficients of similar indexes in R clustering, and one of the indexes with the smallest correlation degree is selected. Ensure that the selected indicators having the greatest impact on the green industry evaluation. Thirdly, through R clustering and rough set analysis, the index system of green industry evaluation is constructed, which includes 22 indexes including green production, green consumption and green environment.

Copyright
© 2019, 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 Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
January 2019
ISBN
978-94-6252-661-7
ISSN
1951-6851
DOI
10.2991/mmssa-18.2019.34How to use a DOI?
Copyright
© 2019, 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

risenwbib
TY  - CONF
AU  - Xinyue Yang
PY  - 2019/01
DA  - 2019/01
TI  - Green Industry Evaluation Index System Based on Cluster Rough Set Analysis
BT  - Proceedings of the 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018)
PB  - Atlantis Press
SP  - 143
EP  - 147
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmssa-18.2019.34
DO  - 10.2991/mmssa-18.2019.34
ID  - Yang2019/01
ER  -