An improvement model of analytic hierarchy process based on genetic algorithm

Xin Sun*, Jun Zheng, Yin Pang, Chengfeng Ye, Lei Zhang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

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.

源语言英语
主期刊名High Performance Networking, Computing, and Communication Systems - Second International Conference, ICHCC 2011, Selected Papers
237-244
页数8
DOI
出版状态已出版 - 2011
活动2011 2nd International Conference on High-Performance Networking, Computing and Communications Systems, ICHCC 2011 - Singapore, 新加坡
期限: 5 5月 20116 5月 2011

出版系列

姓名Communications in Computer and Information Science
163 CCIS
ISSN(印刷版)1865-0929

会议

会议2011 2nd International Conference on High-Performance Networking, Computing and Communications Systems, ICHCC 2011
国家/地区新加坡
Singapore
时期5/05/116/05/11

指纹

探究 'An improvement model of analytic hierarchy process based on genetic algorithm' 的科研主题。它们共同构成独一无二的指纹。

引用此