一种模糊判断矩阵的互补一致性修正方法
发布时间：2019-03-08 20:59
【摘要】：引入度量矩阵大小的lp范数来刻画关于模糊判断矩阵的相似性条件、互补性条件以及一致性条件的满足程度。通过将三个极小化问题转化为一个目的规划问题对模糊判断矩阵进行了互补一致性修正。使用控制参数λ将p=1和p=∞两类极小化偏差量的方法结合起来得到了一种更加灵活且适用范围更广的模糊判断矩阵的互补一致性修正方法。最后,用一个数值例子进行说明。
[Abstract]:The lp norm of the size of the metric matrix is introduced to describe the degree of satisfaction of the similarity condition, complementarity condition and consistency condition for the fuzzy judgment matrix. By transforming the three minimization problems into an objective programming problem, the complementary consistency correction of the fuzzy judgment matrix is carried out. A complementary consistency correction method of fuzzy judgment matrix with more flexibility and wider application range is obtained by combining two kinds of methods of minimizing the deviation by using the control parameter 位, namely, p ~ (1) and p = 鈭，
本文编号：2437202
[Abstract]:The lp norm of the size of the metric matrix is introduced to describe the degree of satisfaction of the similarity condition, complementarity condition and consistency condition for the fuzzy judgment matrix. By transforming the three minimization problems into an objective programming problem, the complementary consistency correction of the fuzzy judgment matrix is carried out. A complementary consistency correction method of fuzzy judgment matrix with more flexibility and wider application range is obtained by combining two kinds of methods of minimizing the deviation by using the control parameter 位, namely, p ~ (1) and p = 鈭，
本文编号：2437202
本文链接：https://www.wllwen.com/guanlilunwen/tongjijuecelunwen/2437202.html
