China Safety Science Journal ›› 2017, Vol. 27 ›› Issue (2): 139-144.doi: 10.16265/j.cnki.issn1003-3033.2017.02.025

• Safety Social Engineering Work • Previous Articles     Next Articles

G-INFNs-MCGDM method for evaluating safety input in coal enterprises and its application

ZHAO Baofu1, ZHANG Chao1, JIA Baoshan2, ZHAI Cuixia1, REN Haizhi1, GUO Jianwei3   

  1. 1 School of Business Administration, Liaoning Technical University, Huludao Liaoning 125105, China
    2 School of Safety Science and Engineering, Liaoning Technical University, Fuxin Liaoning 123000, China
    3 School of Electronics & Information Engineering, Liaoning Technical University, Huludao Liaoning 125105, China
  • Received:2016-11-01 Revised:2017-01-08 Online:2017-02-28 Published:2020-11-22

Abstract: For the sake of improving utilization efficiency of resources and ensuring the safety in production, G-INFNs-MCGDM method was established for determining the reasonable structure of safety inputs by combining the G theory,INFNs and MCGDM. Firstly, the grey incidence weights, auxiliary weights and multi-dimensional compound weights were calculated by using the Relational INFNs Bonferroni Hybrid Geometric (R-INFNBHG) operator. Secondly,the multi-dimensional compound weights and average weights of expert evaluation were used to calculate the optimal multi-dimensional compound weights.The weights of factors in overall evaluation were calculated by optimal multi-dimensional evaluation weights of each hierarchy, and the safety inputs were sorted and analyzed by using weights of factors in overall evaluation. The method was applied to a certain coal enterprise in China.The results show that the coal enterprise should pay attention to safety inputs efficiency,that both industrial hygiene input and education input have an important effect on the overall safety input,and that the G-INFNs-MCGDM can orchestrate grey incidence weights and auxiliary weights and coordinate the multi-dimensional compound weights and average weights of expert evaluation, so it helps to optimize the structure of safety inputs.

Key words: coal enterprises, safety input, intuitionistic normal fuzzy numbers(INFNs), gray (G), multi-criteria group decision making(MCGDM)

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