Improving dual importance analysis based on a Shapley value associated with a fuzzy measure when interactions of criteria are significant

Jiunn I. Shieh, Hsin Hung Wu

Research output: Contribution to journalArticle


Kano's model is very useful to classify customer needs into different categories by completely using self-stated evaluations. However, the derived evaluation approach uses a less direct way of uncovering the evaluations that are most reliable to reflect the respondents' view from the survey. In addition, interaction effects among items, particularly non-linear interactions, are often incurred in practice. This study proposes a framework of using the dual importance graph with self-stated performance and derived importance computed by a Shapley value associated with a fuzzy measure method to classify the service items into different types of Kano's category by considering both linear and nonlinear effects among items. A case of evaluating the service quality of a particular hospital is illustrated to show how this proposed framework works. The result shows that using the Shapley value-based dual importance graph is more practical to deal with interactions of items.

Original languageEnglish
Pages (from-to)168-183
Number of pages16
JournalInternational Journal of Industrial and Systems Engineering
Issue number2
Publication statusPublished - 2019 Jan 1


All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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