PFAHP-based Index Weighting in Operation Quality Evaluation of GSM-R

DOI

10.2991/iccia-19.2019.48How to use a DOI?

Keywords

PFAHP; Index weight determination; GSM-R network; FAHP; Peer-to-Peer Consensus Reaching Model.

Abstract

GSM-R is a railway mobile communication network adapted to railway informatization and security. Determining the weight value of each index is the key step for comprehensive evaluation of GSM-R network operation quality. The traditional fuzzy analytic hierarchy process (FAHP) is not suitable for the situation which has huge number of experts and the experts are unfamiliar with each other. So, we use the peer-to-peer consensus reaching model to improve it and put forward the peer-to-peer fuzzy analytic hierarchy process (PFAHP). This method uses the peer-to-peer consensus reaching model to modify the expert matrix to increase the consistency of expert judgment. The modified expert evaluation matrix is transformed into a triangular fuzzy judgment matrix, and the weighted triangular fuzzy judgment matrix of each expert is used to obtain the average triangular fuzzy judgment matrix. Finally, the weight distribution value of the GSM-R network operation quality evaluation index is obtained. It can be seen from the results that the handover success rate, voice quality and reception level value have a larger proportion in evaluating the GSM-R network operation quality, which is consistent with the actual situation. The final index weight value calculated by FAHP has a referential significance in the GSM-R network operation quality evaluation.

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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TY  - CONF
AU  - Chunhua Peng
AU  - Keyue Deng
AU  - Linfeng Tang
PY  - 2019/07
DA  - 2019/07
TI  - PFAHP-based Index Weighting in Operation Quality Evaluation of GSM-R
BT  - Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
PB  - Atlantis Press
SP  - 313
EP  - 321
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-19.2019.48
DO  - 10.2991/iccia-19.2019.48
ID  - Peng2019/07
ER  -