Construction of Human–Machine Interface Evaluation with Multi-index Weights Allocation Method

Based on the analysis of traditional AHP, statutory right of the main problems exist; the evaluation of human–machine interface is based on the characteristics of the index weight allocation method and the multi-index weights allocation is based on the reliability coefficient of correlation based on grey-level analysis. Use HMI index weight allocation method, reliability coefficients-based grey theory of AHP correction, reliability coefficient from the perspective of the overall similarity of structure expert judgement to achieve a quantitative description of the cognitive characteristics to solve the multi-expert judgement gathering information. Case studies show that the weight distribution method is not only a clear concept, but is simple and easy to operate which reduces the influence of subjective factors on weight, so that the weight distribution becomes more clear and reasonable. The results are more scientific and reliable. Multi-level index weights based on grey relational analysis method for redistribution to the grey from the perspective of the overall analysis of the structure and type II and I judgement matrix to solve excessive number of indicators to determine the number of pairwise comparisons too many problems. Case studies show that the judgement matrix I is only simple and convenient, easy to operate and high resolution, suitable indicators when excessive weight distribution.