A new neutrosophic model using DUS-Weibull transformation with application

There is a need to comprehend real-world problems that are marked by ambiguity and inflexibility. By taking into account the indeterminacies and inconsistencies, DUS transformation has been taken to Neutrosophic Weibull distribution and DUS-Neutrosophic Weibull distribution is proposed. The probability density function is unimodal and decreasing in nature. Several statistical properties have been studied. The parameters of the proposed distribution are estimated using the maximum likelihood method. The proposed distribution has been validated on a real data set. The estimates are found to be more accurate than the classical distributions.

Automated summary

This study transforms DUS into Neutrosophic Weibull distribution and investigates its statistical properties and parameter estimation method. The validation on a real data set shows that the proposed distribution performs more accurately than classical distributions.