Abstract: Deformation factors reduction is the priority problem for the compensation control predictive modeling of flexible material machining, however, for the reasons of self-properties and machining characteristics of flexible material, it causes deformation factor increasing, and those factors are interrelated and overlapped simultaneously. Considering analytic hierarchy process which belongs to information decision field, has the advantage of calculating impact of various factors in decision system by using limited quantitative information. The analytic hierarchy process is introduced and to be used in the study of deformation factors extracting of flexible material machining, according to it, the machining deformation factors extraction model is constructed, the model includes target layer, criterion layer and index layer which correspond to deformation factor significance, machining properties and deformation factors. Computational formula between extraction attribute P of machining deformation factors is deduced, and take influence degree vector W_p as evaluating indicator to establish calculation programmer of extraction algorithm, finally, experiments are carried. Experimental tests show that the factor set extracted by analytic hierarchy process is similar to theses method of Pawlak and information entropy. The prediction error by hierarchical analysis process is 13.76% and 9.43%s decreased comparing to Pawlak and information entropy, which proved that the analytic hierarchy process can effectively and expediently extract the machining deformation factors set.

Key words: analytic hierarchy process, compensation prediction, deformation factors extract, flexible materials processing