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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationUncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016
EditorsJie Lu, Ludovic Koehl, Etienne E. Kerre, Luis Martinez, Xianyi Zeng
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages1095-1101
Number of pages7
ISBN (Electronic)9789813146969
DOIs
Publication statusPublished - 2016
EventUncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016 - Roubaix, France
Duration: 24 Aug 201626 Aug 2016

Publication series

NameUncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016

Conference

ConferenceUncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016
Country/TerritoryFrance
CityRoubaix
Period24/08/1626/08/16

Bibliographical note

Publisher Copyright:
© 2016 by World Scientific Publishing Co. Pte. Ltd.

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