Int J Performability Eng ›› 2022, Vol. 18 ›› Issue (4): 263-274.doi: 10.23940/ijpe.22.04.p4.263274

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Novel Hybrid Decision Model for Electrical Fire Risk Evaluation of High-Rise Buildings based on Asymmetric Proximity

Lei Su, Fan Yang*, Yu Shen, and Zhichun Yang   

  1. Electric Power Research Institute, State Grid Hubei Electric Power Co., Ltd., Wuhan, 430077, China;
  • Submitted on ; Revised on ; Accepted on
  • Contact: * E-mail address:
  • About author:Lei Su is a senior engineer, main research interests: power distribution automation and electrical fire assessment and analysis, etc.
    Fan Yang is a senior engineer, main research interests: distribution network operation and maintenance management and condition control technology
    Yu Shen is a senior Engineer, main research interests: Distribution network operation and maintenance management and technical supervision
    Zhichun Yang is a senior engineer, mainly engaged in operation and control of distribution network and distribution automation, operation and maintenance, condition control, simulation research, test and inspection, etc.

Abstract: This paper investigates the risk assessment method of electrical fires of high-rise buildings based on hybrid decision models considering asymmetric proximity. Based on the occurrence mechanism of electrical fires in high-rise buildings, a four-level evaluation index system considering the disaster causing body, fire site environment, affected body, and fire driving factors is established based on FP growth mining association rules, and the risk grade is divided further. An improved DEMATEL+ANP index weight assignment method for balancing the interaction relationship between indexes is proposed, and a hybrid decision model for electrical fire risk assessment in high-rise buildings, taking further account of asymmetric proximity and improved evidence cloud theory. Combined with specific examples, the effectiveness of the proposed building electrical fire risk assessment method is verified. This method can better balance each risk evaluation index, fully considering the fuzziness and randomness in the electrical fire risk assessment of high-rise buildings, and improve the accuracy and applicability of electrical fire risk assessment.

Key words: high-rise building, electrical fire, association rules, cloud theory, asymmetric closeness, hybrid decision