AN INTERVAL-VALUED HESITANT FUZZY APPROACH FOR FCM: AN EXAMPLE FOR ROOT CAUSES OF HUMAN ERRORS IN SHIPPING ACCIDENTS


Arican U., Kadaifçi Ç. , Asan U.

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS), Roubaix, France, 24 - 26 August 2016, vol.10, pp.1095-1101 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 10
  • Doi Number: 10.1142/9789813146976_0169
  • City: Roubaix
  • Country: France
  • Page Numbers: pp.1095-1101

Abstract

In this study, a new approach for Fuzzy Cognitive Mapping (FCM) is proposed by using Interval-Valued Hesitant Fuzzy Numbers (IVH-FCM). This new approach provides a stronger tool to deal with uncertainty in the system by enabling the experts to be more flexible during their judgments. Instead of indicating exact values for the membership degrees of causal relationships, they provide possible interval values. The root causes of human errors in shipping accidents are analyzed by using IVH-FCM to examine the contribution of the approach to the real life problems.