Dynamic Process in Threshold Weighted Indecisive-Voting Systems

To model threshold weighted voting systems with multifailure modes, we analyze system performance in terms of system reliability by focusing on indecisive effect. The measurement of system reliability is generated by the decision rule where we apply dynamic process on two major aspects including the indecisive parameter θ and voters' errors resulting from various situations such as weights replacement and inputs discrepancy. The motivation is to make the existing model more applicable via the dynamic process. In this article, two major contributions are addressed as follows. First, the continuous distributed indecisive parameter gives an intuitive idea of how the model adapts from the decision rule, which provides the flexibility of adjustment to satisfy different applications. Second, the time delay degradation process on voters' errors illuminates the opposite system performance for two types of inputs by considering different indecisive effects, which leads to further investigation of model sensitivity of input types.