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中文摘要：
为准确评价数控机床的精度，通过研究数控机床动态加工性能与精度变化过程问的模糊关联关系，提出数控机床切削精度特征间模糊耦合识别模型，并将数控机床加工精度与切削加工过程看作耦合系统，构造隐马尔可夫模型（HMM），围绕改进量子遗传算法（IQGA）展开分析，实现HMM隐状态估计与参数估计问题，确定各切削特性重要性顺序。构造加工性能与精度特征关联模糊判断矩阵，利用质量功能展开（QFD）对产品需求转化为机床精度的重要性，试验了该技术的可证明行性与准确性。
英文摘要：
In order to evaluate the accuracy of a computerized numerical control （ CNC ） machine tool comprehensively, the coupling relationship between the dynamic machining performance and accuracy variation process of CNC machine tools is studied. A fuzzy coupling recognition model of cutting precision of CNC machine tool is presented. The machining accuracy and the cutting process are regarded as a coupled system, and the hidden markov model（HMM） is constructed. Based on Improved Quantum Genetic Algorithm （IQGA） , the importance order of cutting characteristics is determined by the parameters estimation of the hidden markov model（HMM）. The accuracy characteristics of machine tools are identified through quality function deployment （ QFD）, based on the fuzzy associated matrix of coupling system and cutting characteristics importance vector. Experimental results show the feasibility and the accuracy of the algorithm.
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