Entropy-Based Defuzzification Method with Expert´s Epistemic Uncertainty for Deteriorating Repairable Systems

The effective management of uncertainty is one of the most fundamental problems in decision making. Currently, most decision models rely on point estimates for input parameters, although the uncertainty surrounding these values is well-recognized. This study reviewed the problems that are commonly involved in computational problems involving expert´s epistemic uncertainty. In order to transfer the subjective valuation into real valuation, this study have base on the fuzziness of the prior moments and through the fuzziness of failure data set. Finally, this study provides guidelines for decision-making and furnishes decision makers with valuable support for making reliable and robust decisions.