We focus our attention on the classification of fuzzy time trajectories with triangular membership function, described by a given set of individuals. To this purpose, we adopt a fully informational approach, explicitly recognizing the informational nature shared by the ingredients of the classification procedure: the observed data (Empirical Information) and the classification model (Theoretical Information). In particular, by supposing that the informational paradigm has a fuzzy nature, we suggest three fuzzy clustering models allowing the classification of the triangular fuzzy time trajectories, based on the analysis of the cross sectional and/or longitudinal characteristics of their components (centers and spreads). Two applicative examples are illustrated. © Springer-Verlag 2002.

Fuzzy K-means clustering models for triangular fuzzy time trajectories / Coppi, Renato; D'Urso, Pierpaolo. - In: STATISTICAL METHODS & APPLICATIONS. - ISSN 1618-2510. - 11:1(2002), pp. 21-40. [10.1007/bf02511444]

Fuzzy K-means clustering models for triangular fuzzy time trajectories

COPPI, Renato;D'URSO, Pierpaolo
2002

Abstract

We focus our attention on the classification of fuzzy time trajectories with triangular membership function, described by a given set of individuals. To this purpose, we adopt a fully informational approach, explicitly recognizing the informational nature shared by the ingredients of the classification procedure: the observed data (Empirical Information) and the classification model (Theoretical Information). In particular, by supposing that the informational paradigm has a fuzzy nature, we suggest three fuzzy clustering models allowing the classification of the triangular fuzzy time trajectories, based on the analysis of the cross sectional and/or longitudinal characteristics of their components (centers and spreads). Two applicative examples are illustrated. © Springer-Verlag 2002.
2002
fuzzy time array; informational support; cross sectional and/or longitudinal double fuzzy clustering; fuzzy time trajectory; triangular membership function
01 Pubblicazione su rivista::01a Articolo in rivista
Fuzzy K-means clustering models for triangular fuzzy time trajectories / Coppi, Renato; D'Urso, Pierpaolo. - In: STATISTICAL METHODS & APPLICATIONS. - ISSN 1618-2510. - 11:1(2002), pp. 21-40. [10.1007/bf02511444]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/254710
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