首页    期刊浏览 2024年10月03日 星期四
登录注册

文章基本信息

  • 标题:A risk assessment model based on fuzzy logic for electricity distribution system asset management
  • 本地全文:下载
  • 作者:Yazdani, A. ; Shariati, S. ; Yazdani-Chamzini, A.
  • 期刊名称:Decision Science Letters
  • 印刷版ISSN:1929-5804
  • 电子版ISSN:1929-5812
  • 出版年度:2014
  • 卷号:3
  • 期号:3
  • 页码:343-352
  • 语种:English
  • 出版社:Growing Science Publishing Company
  • 摘要:Electricity distribution systems are considered as the most critical sectors in countries because of the essentiality of power supplement security, socioeconomic security, and way of life. According to the central role of electricity distribution systems, risk analysis helps decision maker determine the most serious risk items to allocate the optimal amount of resources and time. Probability-impact (PI) matrix is one of the most popular methods for assessment of the risks involved in the system. However, the traditional PI matrix is criticized for its inability to take into account the inherent uncertainty imposed by real-world systems. On the other hand, fuzzy sets are capable of handling the uncertainty. Thus, in this paper, fuzzy risk assessment model is developed in order to assess risk and management for electricity distribution system asset protection. Finally, a comparison analysis is conducted to show the effectiveness and the capability of the new risk assessment model.
  • 关键词:Asset management;Electricity distribution system;Fuzzy logic;Mamdani algorithm;Risk assessment
国家哲学社会科学文献中心版权所有