Research on the fire safety assessment of high building with intuitionistic fuzzy TOPSIS method

Author:

Xu Mingbiao,Peng Dehong

Abstract

In our country, fire from high-rise buildings happens from time to time and produced economic loss could be well over 100 billion that will give rise to great harm to safety of the people’s life and property even to the development of the whole national economy. In the fire protection work for High-rise building’s safety assessment, prevention, cause and salvation, all of this controlled by multiple factors. With their different attributes, fire problem and management work became more complex and even harder. When we want to integration and judgment the information which including many main bodies that with multi-aspect and evaluation index characteristics to be evaluated, Fuzzy mathematics evaluation method can help us. It can consider fully the fuzzy and uncertain in the assessment. For the problems in high-rise Building fire protection management. And it is frequently viewed as a multi-attribute group decision-making (MAGDM) issue. Thus, a novel MAGDM method is needed to tackle it. Depending on the conventional TOPSIS (Technique for Order Preferenceby Similarity to Ideal Solution) method and intuitionistic fuzzy sets (IFSs), this essay designs a novel intuitive distance based IF-TOPSIS method for fire safety assessment based on the high building. Afterwards, relying on novel distance measures between IFNs, the conventional TOPSIS method is extended to the intuitionistic fuzzy environment to calculate assessment score of each alternative. Eventually, an application about fire safety assessment based on the high building and some comparative analysis have been given to demonstrate the superiority of the designed method. The results illustrate that the designed framework is useful for fire safety assessment based on the high building.

Publisher

IOS Press

Subject

Artificial Intelligence,Control and Systems Engineering,Software

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