Weighted average voting has been widely used in control and computing systems. A novel voting algorithm based on combining the weighted average voter (WAV) with the minimum distance classification (MDC) technique. This voting algorithm uses WAV to indicate the minimum distance that will be used in the classification technique to select one measurement as the voter output. It is applicable for handling the output of an array of skewed sensors in safety related applications. The performance of the proposed voter is evaluated through a series of fault injection experiments and the results are compared with those of the exact majority voter [1], the WAV [2] and the enhanced weighted average voter (EWAV) [3]. The experimental results showed that the novel voter gives better performance in terms of reliability and complexity than the three other voters.