摘要
在考虑多因素影响的测试性分配中,需要专家通过两两比较来确定诸因素的相对重要性.然而由于人们的判断具有模糊性和不确定性,故在构造比较判断矩阵时所给出的判断往往不是确定的数值.针对这一问题,本文提出基于三角模糊数的测试性分配方法.该方法用三角模糊数表示专家评判数值范围,考虑人判断的模糊性,将无弹性的硬指标转化成模糊的软指标,建立基于三角模糊数的结构模型,同时结合层次分析(APH)方法进行指标权重的确定,由得到的权重进行测试性指标的分配.最后结合实例对本方法进行应用研究,应用结果验证了此方法的可行性.
Considering multiple factors that affect the distribution of the test, experts are needed through pairwise comparison to determine the relative importance of the factors. However, due to the people＇s judg- ment of fuzziness and uncertainty, judgment in the structural comparison judgment matrix is often not given a value determined. To this problem, proposed a testability allocation method based on triangular fuzzy num- bers. The method using triangular numbers to represent the numerical range of expert judgment, considering the fuzzy judgment, change inelastic hard index into fuzzy soft index, establish a structural model based on triangular fuzzy numbers, combined with the analytic hierarchy process （APH） to determine the index weight method, distribution of test indexes obtained by gaining weight. Finally, an example application study of this paper, the application results proved the feasibility of this method.
出处
《测试技术学报》
2014年第4期293-298,共6页
Journal of Test and Measurement Technology
基金
总装武器装备预研基金项目(9140A27020212JBZ4311)
关键词
测试性分配
三角模糊数
层次分析法
故障检测率
判断矩阵
testability allocation
triangular fuzzy numbers
analytic hierarchy process
fault detection rate
judgment matrix
