Consistency modification of judgment matrix based on genetic algorithm in analytic hierarchy process

Xin Su*, Qiongxin Liu, Lei Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

Analytic hierarchy process is very extensive in decision-making of many objects and widely used in many fields as a classical multi attribute decision-making approach. But its judgment matrix is constructed only by decision-maker subjective judgment. Judgment matrix consistency is the core problem in the AHP. In this paper, 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. The improved analytic hierarchy process is more objective, more logical and more compact.

Original languageEnglish
Title of host publicationProceedings - PACCS 2011
Subtitle of host publication2011 3rd Pacific-Asia Conference on Circuits, Communications and System
DOIs
Publication statusPublished - 2011
Event2011 3rd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2011 - Wuhan, China
Duration: 17 Jul 201118 Jul 2011

Publication series

NameProceedings - PACCS 2011: 2011 3rd Pacific-Asia Conference on Circuits, Communications and System

Conference

Conference2011 3rd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2011
Country/TerritoryChina
CityWuhan
Period17/07/1118/07/11

Keywords

  • Analytic hierarchy process
  • Consistency modification
  • Genetic algorithm
  • Judgment matrix

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