Bagged fuzzy clustering for fuzzy data: An application to a tourism market
作者：
Highlights：
• Introduces a novel segmentation method based on bagged and fuzzy clustering.
• Proposes how to adapt Bagged fuzzy clustering for fuzzy data.
• Segments the market of potential Chinese consumers to Western Europe.
• Four segments of perceived images are identified.
• Results have implications for the application of market segmentation algorithms in marketing.
摘要
•Introduces a novel segmentation method based on bagged and fuzzy clustering.•Proposes how to adapt Bagged fuzzy clustering for fuzzy data.•Segments the market of potential Chinese consumers to Western Europe.•Four segments of perceived images are identified.•Results have implications for the application of market segmentation algorithms in marketing.
论文关键词：Bagged clustering,Fuzzy C-means,Fuzzy data,Chinese consumers,Likert-type scales
论文评审过程：Received 26 June 2014, Revised 22 September 2014, Accepted 24 October 2014, Available online 4 November 2014.
论文官网地址：https://doi.org/10.1016/j.knosys.2014.10.015
