Abstract
Likert scales or associated codings are often used in connection with opinions/valuations/ratings, and especially with questionnaires with a pre-specified response format.A guideline to design questionnaires allowing free fuzzy-numbered response format is now given, the fuzzy numbers scale being very rich and expressive and enabling to describe in a friendly way the usual answers in this context. A review of some techniques for the statistical analysis of the obtained responses is enclosed and a real-life example is used to illustrate the application.
This paper has been written as a tribute to Professor Ebrahim Mamdani. We have had the great opportunity of meeting a unique outstanding person, during last years mainly because of him being a member of the Scientific Committee of the European Centre for Soft Computing. We have learned a lot from his lectures and conversations, and have enjoyed with the fruitful discussions around, so we will feel always indebted to him.
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Gil, M.Á., González-Rodríguez, G. (2012). Fuzzy vs. Likert Scale in Statistics. In: Trillas, E., Bonissone, P., Magdalena, L., Kacprzyk, J. (eds) Combining Experimentation and Theory. Studies in Fuzziness and Soft Computing, vol 271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24666-1_27
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