基于遗传算法的TOPSIS法研究  

TOPSIS Optimization Model Based on Genetic Algorithm

作　　者：李振平[1] 李艳晓[1] 

机构地区：[1]洛阳理工学院数理部,河南洛阳471023

出　　处：《洛阳理工学院学报（自然科学版）》2011年第2期79-81,90,共4页Journal of Luoyang Institute of Science and Technology：Natural Science Edition

基　　金：河南省教育厅自然科学基金项目(2009B110012)

摘　　要：对传统的TOPSIS法进行改进,利用加速遗传算法去检验、修正判断矩阵,直接得到判断矩阵的一致性指标系数的层次分析法,确定了评价指标的权重,提高了TOPSIS法在实际应用中的科学性和合理性。并将该方法应用于联合收割机选型的实例,结果证实该方法与传统方法相比,评价值差异明显,更有利于决策。The traditional TOPSIS model has been improved in this paper in the way that the index weight has been achieved through AHP which uses AGA to test and correct the judgment matrix, and achieve the direct consistency index factor of the judgment matrix. This method increases the scientific and reasonable application of TOPSIS Model in reality and fits into the selection of Combine. Results prove that it has significant difference on evaluation and advantages on decision making over the traditional methods.

关 键 词：层次分析法 TOPSIS法 加速遗传算法 

分 类 号：O29[理学—应用数学]