Dr. Bashar Khalid Ali Hussein, a faculty member at the College of Administration and Economics, University of Karbala, in collaboration with Dr. Adel Aboud Najm from the College of Administration and Economics at the University of Samarra, has published a research paper titled “Estimating the Survival Function of the Weibull Distribution Based on a Granular Hesitant Fuzzy Set” in the Central Asian Journal of Mathematical Theory and Computer Science.

This journal is a peer-reviewed scientific publication issued by Central Asian Studies Publishing Company, based in Las Palmas de Gran Canaria, Spain. It serves as a specialized platform for publishing high-quality research in theoretical mathematics, computer science, probability theory, and mathematical statistics, attracting studies that contribute to the academic and scientific advancement of these fields.

The research introduces a novel methodology for estimating the survival function of the Weibull distribution using the Granular Hesitant Fuzzy Set—a modern statistical approach designed to handle imprecise and uncertain data. This method enhances the analysis of probabilistic data, improving the accuracy of statistical estimates and their applications in fields such as engineering, medical sciences, and risk analysis.

Dr. Bashar Khalid Ali Hussein is a faculty member in the Department of Statistics at the University of Karbala, with numerous contributions in applied statistics. Meanwhile, Dr. Adel Aboud Najm, a researcher at the University of Samarra, has extensive expertise in mathematical and statistical modeling.

This study represents a significant academic contribution, advancing techniques for analyzing fuzzy and probabilistic data. It aids researchers in refining predictive models and decision-making processes based on uncertain data, thereby enhancing practical applications in various disciplines.