China Safety Science Journal ›› 2022, Vol. 32 ›› Issue (5): 61-67.doi: 10.16265/j.cnki.issn1003-3033.2022.05.1335

• Safety engineering technology • Previous Articles     Next Articles

Hesitant fuzzy method with variable weight for HAZOP risk sorting

WANG Tiedan(), MU Yiqiang(), PENG Dinghong**()   

  1. Faculty of Management and Economics, Kunming University of Science and Technology, Kunming Yunnan 650093, China
  • Received:2021-12-12 Revised:2022-03-15 Online:2022-08-17 Published:2022-11-28
  • Contact: PENG Dinghong

Abstract:

In order to improve quality and efficiency of HAZOP, a hazard risk sorting method was proposed based on hesitant fuzzy information and incorporating continuous punishment-reward variable weight function. Firstly, HFS was used to describe group evaluation information of expert group for full convergence of HAZOP group's intelligence. Secondly, a continuous punishment-reward variable weight method was proposed to reflect influence of indicator state values on risk sorting. Then, HAZOP analysis process based on variable-weight hesitant fuzzy TOPSIS-Sort method was further constructed. Finally, the proposed method was used in a crude stabilization unit for risk level analysis, which verified its scientificity and effectiveness. The results show that five hazards, including H1, are sorted into Negligible level, another five hazards, including H4, are sorted into As Low As Reasonably Practicable level and the corresponding ranking is H10<H8<H5<H4<H7.

Key words: hazard and operability study (HAZOP), hesitant fuzzy set (HFS), variable weight, risk sorting method, technique for order preference by similarity to an ideal solution-sort (TOPSIS-Sort)