Intelligent fuzzy Pythagorean Bayesian decision making of maintenance strategy selection in offshore sectors

Mohammad Yazdi*, Noorbakhsh Amiri Golilarz, Arman Nedjati, Kehinde A. Adesina

*Corresponding author for this work

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

17 Citations (Scopus)

Abstract

In this study, the new methodology is proposed with the integration of Pythagorean fuzzy set and Bayesian structural method to deal with both objective and subjective uncertainties. The conventional decision-making tools are suffering a couple of fundamental drawbacks, such as (i) the results are depending on subjective terms, (ii) model and data uncertainties are taken into account, (iii) importantly is that confidence level is ignored, and finally (iv) the factor time is not considered into final decisions. In this study, the Pythagorean fuzzy set is overcome with subjective uncertainty, and the Bayesian network is engaged to deal with objective uncertainty. The maintenance strategy selection offshore sectors are studied for the proposed approach to show the effectiveness and efficiency. The results show that the proposed methodology would assist exports in making appropriate decisions.

Original languageEnglish
Title of host publicationIntelligent and fuzzy techniques for emerging conditions and digital transformation
Subtitle of host publicationproceedings of the INFUS 2021 Conference, held August 24-26, 2021. Volume 2
EditorsCengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari
Place of PublicationCham
PublisherSpringer, Springer Nature
Pages598-604
Number of pages7
Volume2
ISBN (Electronic)9783030855772
ISBN (Print)9783030855765
DOIs
Publication statusPublished - 2022
Externally publishedYes
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2021 - Istanbul, Turkey
Duration: 24 Aug 202126 Aug 2021

Publication series

NameLecture Notes in Networks and Systems
PublisherSpringer
Volume308
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2021
Country/TerritoryTurkey
CityIstanbul
Period24/08/2126/08/21

Keywords

  • Bayesian network
  • Decision-making
  • Crane
  • Uncertainties
  • Offshore

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