Composite indicators should ideally measure multidimensional concepts which cannot be captured by a single variable. In this chapter, we suggest a method based on fuzzy set theory for the construction of a fuzzy synthetic index of a latent phenomenon (e.g., well-being, quality of life, etc.), using a set of manifest variables measured on different scales (quantitative, ordinal and binary). A few criteria for assigning values to the membership function are discussed, as well as criteria for defining the weights of the variables. For ordinal variables, we propose a fuzzy quantification method based on the sampling cumulative function and a weighting system which takes into account the relative frequency of each category. An application regarding the results of a survey on the users of a contact center is presented.
CITATION STYLE
Zani, S., Milioli, M. A., & Morlini, I. (2013). Fuzzy composite indicators: An application for measuring customer satisfaction. In Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies (pp. 243–253). Springer International Publishing. https://doi.org/10.1007/978-3-642-35588-2_23
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