基于层次分析法的激光打印机用户消费偏好研究

Research on Laser Printer User Consumption Preferences Based on Analytic Hierarchy Process

摘要: 本文主要分析了激光打印机主要消费群体的功能需求和消费偏好，梳理并总结激光打印机产品未来发展趋势，以支持激光打印机设计领域的理论构建。通过对当前激光打印机市场状况的综合考察，结合用户访谈和用户流程分析成果，利用层次分析法确立评价指标体系与评价指标，建立完整的用户偏好影响要素评价架构。在此基础上，实施k-均值聚类分析，对所有二级指标进行聚类分析，系统化解析和展现影响用户偏好与购买决策的各项关键要素。建立了针对激光打印机的用户偏好评价模型，通过对用户偏好的深入分析，提炼出了一系列评价准则，并对评价指标权重进行了分类和分级处理。通过k-均值聚类分析法对评价指标权重进行了有效的分类和分级，从而使企业能够更精确地识别并关注那些对用户购买决策影响最大的因素。

Abstract: This article mainly analyzes the functional needs and consumer preferences of the main consumer groups of laser printers, and summarizes the future development trends of laser printer products to support the theoretical construction in the field of laser printer design. Through a comprehensive investigation of the current market situation of laser printers, combined with user interviews and user process analysis results, the Analytic Hierarchy Process is used to establish an evaluation index system and evaluation indicators, and to establish a complete evaluation framework for user preference influencing factors. On this basis, k-means clustering analysis is implemented to perform clustering analysis on all secondary indicators, systematically analyzing and displaying key factors that affect user preferences and purchase decisions. A user preference evaluation model for laser printers has been established. Through in-depth analysis of user preferences, a series of evaluation criteria have been extracted, and the weights of evaluation indicators have been classified and graded. The k-means clustering analysis method has effectively classified and graded the weights of evaluation indicators, enabling enterprises to more accurately identify and focus on the factors that have the greatest impact on user purchasing decisions.