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  1. Research Outputs

Fuzzy methods and satisfaction index

Chapter
Publication Date:
2012
Short description:
Fuzzy methods and satisfaction index / S., Z., M. A., M., Morlini, I. - In: Modern Analysis of Customer Surveys / R.S. Kenett, S. Salini. - STAMPA. - London : Wiley, 2012. - ISBN 9780470971284. - pp. 439-455
abstract:
This chapter develops a framework that uses fuzzy set theory in order to measure customersatisfaction, starting from a survey with several questions. The basic concepts of the theoryof the fuzzy numbers are briefly described. A criterion based on the sampling cumulativefunction, which assigns values to the membership function with reference to each quantitative,ordinal and binary variable, is suggested.Weighting and aggregation operators for the variablesare considered. An application to ABC survey data shows the usefulness of the fuzzy setapproach: the gradual transition from very dissatisfied to really satisfied customers is capturedby fuzzy composite indices. The comparison with the classical methods for the measurementof customer satisfaction highlights the advantages of the suggested criterion from both thetheoretical and operational points of view.
Iris type:
Capitolo/Saggio
Keywords:
imprecise data and fuzzy methods; membership function; quantification of ordinal variables; weighting criteria; overall satisfaction.
List of contributors:
S., Zani; M. A., Milioli; Morlini, Isabella
Authors of the University:
MORLINI Isabella
Handle:
https://iris.unimore.it/handle/11380/666247
Book title:
Modern Analysis of Customer Surveys
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