An Improvement Model of Analytic Hierarchy Process Based on Genetic Algorithm

被引：0
|
作者：
Sun, Xin [1 ]
Zheng, Jun [1 ]
Pang, Yin [1 ]
Ye, Chengfeng [1 ]
Zhang, Lei [1 ]
机构：
[1] Beijing Inst Technol, Sch Comp Sci & Technol, Beijng Key Lab Intelligent Informat Technol, Beijing 100081, Peoples R China
来源：
HIGH PERFORMANCE NETWORKING, COMPUTING, AND COMMUNICATION SYSTEMS | 2011年 / 163卷
关键词：
analytic hierarchy process (AHP); judgment matrix; genetic algorithm;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The analytic hierarchy process (AHP) is widely used in many fields as a classical multi attribute decision-making approach. Judgment matrix consistency is the core problem in the AHP. A nonlinear programming model is proposed for improving the consistency of the judgment matrix. Then a genetic algorithm is designed to solve the nonlinear programming model to determine matrix consistency adjustments. And the validity and feasibility of this method is validated by an example.
引用
收藏
页码：237 / 244
页数：8
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