一種模糊判斷矩陣的互補一致性修正方法
發(fā)布時間:2019-03-08 20:59
【摘要】:引入度量矩陣大小的lp范數(shù)來刻畫關(guān)于模糊判斷矩陣的相似性條件、互補性條件以及一致性條件的滿足程度。通過將三個極小化問題轉(zhuǎn)化為一個目的規(guī)劃問題對模糊判斷矩陣進行了互補一致性修正。使用控制參數(shù)λ將p=1和p=∞兩類極小化偏差量的方法結(jié)合起來得到了一種更加靈活且適用范圍更廣的模糊判斷矩陣的互補一致性修正方法。最后,用一個數(shù)值例子進行說明。
[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,
本文編號: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,
本文編號:2437202
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