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.