Fuzzy data treated as functional data: a one-way ANOVA test approach. (English) Zbl 1243.62104

Summary: The use of a fuzzy scale of measurements to describe an important number of observations from real-life attributes or variables is first explored. In contrast to other well-known scales (like nominal or ordinal), a wide class of statistical measures and techniques can be properly applied to analyze fuzzy data. This fact is connected with the possibility of identifying the scale with a special subset of a functional Hilbert space. The identification can be used to develop methods for the statistical analysis of fuzzy data by considering techniques in functional data analysis and vice versa. In this respect, an approach to the FANOVA test is presented and analyzed, and it is later particularized to deal with fuzzy data. The proposed approaches are illustrated by means of a real-life case study.


62J10 Analysis of variance and covariance (ANOVA)
62G86 Nonparametric inference and fuzziness
62G10 Nonparametric hypothesis testing
62J86 Fuzziness, and linear inference and regression
46N30 Applications of functional analysis in probability theory and statistics
65C60 Computational problems in statistics (MSC2010)


fda (R)
Full Text: DOI


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