Table of Contents Author Guidelines Submit a Manuscript
Journal of Applied Mathematics
Volume 2013, Article ID 263905, 7 pages
http://dx.doi.org/10.1155/2013/263905
Research Article

Operational Risk Assessment of Distribution Network Equipment Based on Rough Set and D-S Evidence Theory

1School of Economics and Management, North China Electric Power University, Beijing 102206, China
2State Grid East Inner Mongolia Electric Power Co., Ltd., Hohhot Power Supply Bureau, Hohhot 010050, China

Received 29 August 2013; Revised 22 November 2013; Accepted 22 November 2013

Academic Editor: Antonio J. M. Ferreira

Copyright © 2013 Cunbin Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Kefei Zhang, Jiang Guo, Fang Yuan, Kefei Zhang, Jiang Guo, and Fang Yuan, “A Novel Transformer Fault Diagnosis Model Based on Integration of Fault Tree and Fuzzy Set,” 2015 11th International Conference on Semantics, Knowledge and Grids (SKG), pp. 112–118, . View at Publisher · View at Google Scholar
  • Haijie Mi, and Shuxia Liu, “Fuzzy inference for loss severity of operational risk quantification,” International Journal of Simulation: Systems, Science and Technology, vol. 17, no. 1, pp. 14.1–14.5, 2016. View at Publisher · View at Google Scholar
  • Hao Yang, Shahbaz Gul Hassan, Liang Wang, and Daoliang Li, “Fault diagnosis method for water quality monitoring and control equipment in aquaculture based on multiple SVM combined with D-S evidence theory,” Computers and Electronics in Agriculture, vol. 141, pp. 96–108, 2017. View at Publisher · View at Google Scholar
  • Ying-Jin Lu, and Jun He, “Dempster-shafer evidence theory and study of some key problems,” Journal of Electronic Science and Technology, vol. 15, no. 1, pp. 106–112, 2017. View at Publisher · View at Google Scholar
  • Xia-Zhong Zheng, Fei Wang, and Jian-Lan Zhou, “A Hybrid Approach for Evaluating Faulty Behavior Risk of High-Risk Operations Using ANP and Evidence Theory,” Mathematical Problems in Engineering, vol. 2017, pp. 1–16, 2017. View at Publisher · View at Google Scholar
  • Xilin Ji, Jianwen Chen, Wei Zhang, Yang Yang, Zhipeng Gao, and Xuesong Qiu, “Data Fusion Method Based on Improved D-S Evidence Theory,” Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018, pp. 760–766, 2018. View at Publisher · View at Google Scholar
  • A. V. Malafeev, and A. I. Iuldasheva, “Selection of options for the reconstruction of the power supply system based on the fuzzy sets theory and the crit eria of decision-making theory,” Power engineering: research, equipment, technology, vol. 21, no. 3-4, pp. 59–67, 2019. View at Publisher · View at Google Scholar