Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

Research on Communication Networks Effectiveness Evaluation Based on AHP and Fuzzy Clustering

Authors
Yan Ding
Corresponding Author
Yan Ding
Available Online January 2017.
DOI
10.2991/icmmita-16.2016.218How to use a DOI?
Keywords
Analytic hierarchy process(AHP); Fuzzy clustering; Communication networks effectiveness; Evaluation
Abstract

Communication networks effectiveness evaluation directly determined whether the communication networks system is successful. This paper investigated the communication networks effectiveness evaluation based on Analytic hierarchy process and fuzzy clustering method. Indicators of communication networks effectiveness are established, and the weights of them are obtained by analytic hierarchy process. After that, sample data for a communication networks is gathered by practical research. Then these data is clustered by fuzzy clustering method. Finally, this communication networks is evaluated by four classes including excellent, good, qualified and failure. This research explored an effective method for communication networks effectiveness evaluation.

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 2016 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
978-94-6252-285-5
ISSN
2352-538X
DOI
10.2991/icmmita-16.2016.218How 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  - Yan Ding
PY  - 2017/01
DA  - 2017/01
TI  - Research on Communication Networks Effectiveness Evaluation Based on AHP and Fuzzy Clustering
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.218
DO  - 10.2991/icmmita-16.2016.218
ID  - Ding2017/01
ER  -