An interval-valued hesitant fuzzy approach for FCM: An example for root causes of human errors in shipping accidents

ARICAN U., KADAİFÇİ Ç., ASAN U.

Uncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016, Roubaix, Fransa, 24 - 26 Ağustos 2016, ss.1095-1101 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1142/9789813146976_0169
  • Basıldığı Şehir: Roubaix
  • Basıldığı Ülke: Fransa
  • Sayfa Sayıları: ss.1095-1101
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

© 2016 by World Scientific Publishing Co. Pte. Ltd.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.