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基于遗传模拟退火算法的判断矩阵一致性修正
Consistency modification of judgment matrix based on a genetic simulated annealing algorithm
【摘要】 分析了判断矩阵一致性修正中存在的问题.把专家判断矩阵的不一致性看成在其特征矩阵受到扰动后形成的,在达到满意一致性阈值的前提下使扰动量修改最小,最终建立了专家判断矩阵一致性修正的一个非线性规划模型.设计了相应的遗传模拟退火算法用于求解这个非线性规划,并和已有的方法进行比较,数值计算证明模型是更有效的方法.
【Abstract】 It is assumed that the inconsistency of judgment matrix is formed after its eigenmatrix is disturbed.As a result,a nonlinear programming model is proposed for improving the consistency of the judgment matrix.In the model,disturbance quantity can be minimally modified and consistency threshold is also attained.Then a genetic simulated annealing algorithm is designed to solve the nonlinear programming model.Numerical calculation examples show that the presented model is more feasible and effective compared with existing methods.
【关键词】 判断矩阵;
一致性;
非线性规划;
遗传模拟退火算法;
【Key words】 judgment matrix; consistency; nonlinear programming; genetic simulated annealing;
【Key words】 judgment matrix; consistency; nonlinear programming; genetic simulated annealing;
【基金】 国家自然科学基金委员会优秀创新群体资助项目(70121001)
- 【文献出处】 系统工程学报 ,Journal of Systems Engineering , 编辑部邮箱 ,2006年01期
- 【分类号】F224
- 【被引频次】13
- 【下载频次】313