• DocumentCode
    3589809
  • Title

    A methodology to incorporate organizational factors into individual safety behavior analysis

  • Author

    Jianguo Gao ; Bing Zhang ; Jingshun Duanmu ; Pengtao Zhang

  • Author_Institution
    Materiel Manage. & Safety Eng. Coll., Air Force Eng. Univ., Xi´an, China
  • fYear
    2014
  • Firstpage
    422
  • Lastpage
    428
  • Abstract
    Consider the deep-seated influence of organizational factors on individual safety behavior, by combining the theory of intuitionistic fuzzy sets (IFS) and fuzzy cognitive maps (FCM), this paper proposed a method for individual safety behavior analysis based on intuitionistic fuzzy cognitive maps (IFCM). Firstly, a framework of individual safety behavior analysis under organizational situation was built, and determined the interrelation between organizational factors and individual safety behavior. Secondly, an IFCM model based on intuitionistic fuzzy ordered weighted averaging operator (IFOWA) and FCM was established, and the reasoning steps of IFCM was also proposed. Finally, established the model for individual safety behavior analysis based on IFCM, and the mechanism of organizational factors affecting on individual cognitive behavior, decision-making behavior and execution behavior was analyzed.
  • Keywords
    cognitive systems; fuzzy reasoning; fuzzy set theory; safety; IFCM; IFOWA; IFS; cognitive behavior; decision-making behavior; execution behavior; individual safety behavior analysis; intuitionistic fuzzy cognitive maps; intuitionistic fuzzy ordered weighted averaging operator; intuitionistic fuzzy sets theory; organizational factors; Analytical models; Cognition; Decision making; Fuzzy cognitive maps; Open wireless architecture; Organizations; Safety; fuzzy cognitive maps; individual safety behavior; intuitionistic fuzzy reasoning; ordered weighted averaging operator; organizational factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Maintainability and Safety (ICRMS), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6631-8
  • Type

    conf

  • DOI
    10.1109/ICRMS.2014.7107216
  • Filename
    7107216