Reliability analysis and optimization of weighted voting systems with continuous states input

Q. Long, M. Xie, S.H. Ng and Gregory Levitin

European Journal of Operational Research, 2008, vol. 191, issue 1, 240-252

Abstract: Weighted voting systems are widely used in many practical fields such as target detection, human organization, pattern recognition, etc. In this paper, a new model for weighted voting systems with continuous state inputs is formulated. We derive the analytical expression for the reliability of the entire system under certain distribution assumptions. A more general Monte Carlo algorithm is also given to numerically analyze the model and evaluate the reliability. This paper further proposes a reliability optimization problem of weighted voting systems under cost constraints. A genetic algorithm is introduced and applied as the optimization technique for the model formulated. A numerical example is then presented to illustrate the ideas.

Date: 2008
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:191:y:2008:i:1:p:240-252

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