中文

Journal of Shanghai University（Natural Science Edition） ›› 2017, Vol. 23 ›› Issue (2): 308-314.doi: 10.3969/j.issn.1007-2861.2015.02.010

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Warning classification of public crisis in a university with improved fuzzy TOPSIS based on α level sets

XU Yang, YU Liying, LIN Chenyan   

  1. School of Management, Shanghai University, Shanghai 200444, China
  • Received:2015-06-09 Online:2017-04-30 Published:2017-04-30

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Abstract:

In managing public crisis in a university, it is critical to evaluate warning classification of public crisis. This paper manifests that the warning classification can be measured by elements of crisis itself and the crisis management. Specifically, crisis elements include impact, hazard intensity and proliferation. The crisis management elements include crisis awareness, tolerance and crisis management. Taking these into consideration, a warning classification evaluation system for public crisis in a university is conducted, which has fifteen indexes. Besides, an improved fuzzy technique for order preference by similarity to an ideal solution (TOPSIS) based on level sets is proposed for the warning classification evaluation. Finally five university crisis events are chosen for case analysis.

Key words: α level sets, fuzzy technique for order preference by similarity to an ideal solution (TOPSIS), warning classification , public crisis