Neutrosophic entropy measures for the Weibull distribution: theory and applications

Abstract Entropy is a standard measure used to determine the uncertainty, randomness, or chaos of experimental outcomes and quite popular in statistical distribution theory. methods available literature quantify information random variable with exact numbers lacks dealing interval value data. An indeterminate state an experiment generally generates data form. The indeterminacy property interval-valued makes it neutrosophic form This research proposed some modified forms entropy measures for important lifetime called Weibull by considering performance assessed via simulation study three real-life applications. examples suggested that methodologies entropies are more suitable when has vagueness it.