基于多目标和聚类的产品功能疲劳健壮性分析

Robustness Analysis in Feature Fatigue Problem Based on NSGA-II and Customer Clustering

研究了产品功能疲劳问题中产品功能组合的健壮性分析问题,提出了基于NSGA-II和客户聚类的综合分析方法。具体包括建立了基于NSGA-II算法的产品功能疲劳问题的多目标优化模型,并利用K-Means算法对客户评价数据进行了聚类分析,然后结合多目标模型和聚类结果进行健壮性分析,为产品开发人员选择健壮性的产品功能组合提供决策支持。最后通过智能手机产品的实际案例说明了所提出方法的有效性。

This paper introduces a novel methodology based on NSGA-II and customer clustering for robustness analysis in feature fatigue problem. Firstly, NSGA-II is adopted to establish a multi-objective optimization model. Then K-Means algorithm is used for clustering customer evaluation data. Based on the multi-objective optimization model and clustering results, several candidate solutions for final selection can be obtained according to robust analysis. The usefulness of proposed method has been illustrated using a smart phone case study.