关键词: 客户细分, 航空旅客, 层次分析法, 聚类分析

Abstract: For the current inaccuracy in passenger subdivision of airlines, this article proposes a passenger value evaluation model to improve the accuracy of customer segmentation based on traditional models. To subdivide passengers depending on their behavioral preference, this model is constructed through Analytic Hierarchy Process（AHP）, where how to build consistent comparison matrices is of key importance in determining the weight of various parameters. An algorithm is promoted in this article to enhance the consistency of comparison matrices to achieve simpleness in consistency checking and efficiency in results. By adopting the improved AHP to obtain weights for parameters and segmenting customers via ticket information, airlines are provided valuable references in offering personalized services to passengers with different preferences and developing effective marketing strategy.

Key words: passenger subdivision, civil aviation passenger, Analytic Hierarchy Process（AHP）, clustering analysis