Abstract: Abstract：In view of the fuzziness of equipment criticality, the diversity of the evaluation index and the limitation of weights assignment algorithms in the uniform evaluation method for multiple indices comprehensive evaluation, a new method for assessment of equipment criticality based on fuzzy matter-element analysis is put forward, combining with the concept of Euclid approach degree. The method integrates grey relation analysis based on the cosine distance and DEA in a unified way to determine index weight according to Pareto rule. The fuzzy matter-element model is applied to compute the equipment criticality, thus the grade classification of equipment criticality of the evaluated samples is attained. Then, empirical research on seven equipments of a producing line of the agro-machinery enterprise is carried on. The results show that the method can avoid the uncertainty in estimating the weights subjectively, increase the basic discrimination in the evaluation, so it is more available than traditional models.

Key words: industrial engineering, equipment criticality, fuzzy matter-element, grey relation analysis, DEA