This paper deals with the construction of a fuzzy composite indicator ofa latent phenomenon, using a set of manifest variables measured on different scales(quantitative, ordinal and binary). A few criteria for assigning values to the membershipfunction are discussed, as well as for defining the weights of the variables. Forordinal variables we propose a fuzzy quantification method based on the samplingcumulative function and a weight system taking account of the relative frequency ofeach category. An application to obtain a synthetic measure of customer satisfactionfrom the results of a survey is presented.
Fuzzy Composite Indicators: an application for measuring customer satisfaction / S., Zani; M. A., Milioli; Morlini, Isabella. - ELETTRONICO. - (2010), pp. ---. (Intervento presentato al convegno Convegno della Società Italiana di Statistica tenutosi a Padova nel 16-18 Giugno 2010).
Fuzzy Composite Indicators: an application for measuring customer satisfaction
MORLINI, Isabella
2010
Abstract
This paper deals with the construction of a fuzzy composite indicator ofa latent phenomenon, using a set of manifest variables measured on different scales(quantitative, ordinal and binary). A few criteria for assigning values to the membershipfunction are discussed, as well as for defining the weights of the variables. Forordinal variables we propose a fuzzy quantification method based on the samplingcumulative function and a weight system taking account of the relative frequency ofeach category. An application to obtain a synthetic measure of customer satisfactionfrom the results of a survey is presented.File | Dimensione | Formato | |
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