@inproceedings{e91dc83c6dd043bbbfdf6b37d91cd3d3,
title = "Intelligent fuzzy Pythagorean Bayesian decision making of maintenance strategy selection in offshore sectors",
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.",
keywords = "Bayesian network, Decision-making, Crane, Uncertainties, Offshore",
author = "Mohammad Yazdi and Golilarz, {Noorbakhsh Amiri} and Arman Nedjati and Adesina, {Kehinde A.}",
year = "2022",
doi = "10.1007/978-3-030-85577-2_70",
language = "English",
isbn = "9783030855765",
volume = "2",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer, Springer Nature",
pages = "598--604",
editor = "Cengiz Kahraman and Selcuk Cebi and {Cevik Onar}, Sezi and Basar Oztaysi and Tolga, {A. Cagri} and Sari, {Irem Ucal}",
booktitle = "Intelligent and fuzzy techniques for emerging conditions and digital transformation",
address = "United States",
note = "International Conference on Intelligent and Fuzzy Systems, INFUS 2021 ; Conference date: 24-08-2021 Through 26-08-2021",
}