We study the problem of ordering linguistic summaries of data in terms of quality, and we propose a model of quality on the basis of four basic criteria. The importance of the user in the definition and the properties of ordering relations are stressed in this paper. We illustrate our approach in the specific setting of linguistic summaries of time series data.
Quality assessment in linguistic summaries of data / R. Castillo Ortega, N. Marín, D. Sánchez, A.G.B. Tettamanzi - In: Advances on computational intelligence : 14th International conference on information processing and management of uncertainty in knowledge-based systems, IPMU 2012 : Catania, Italy, july 9-13, 2012 : proceedings. Part 2 / [a cura di] S. Greco, B. Bouchon-Meunier, G. Coletti, M. Fedrizzi, B. Matarazzo, R. Yager. - Berlin : Springer, 2012. - ISBN 9783642317149. - pp. 285-294 (( Intervento presentato al 14. convegno International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU) tenutosi a Catania nel 2012 [10.1007/978-3-642-31715-6_31].
Quality assessment in linguistic summaries of data
A.G.B. TettamanziUltimo
2012
Abstract
We study the problem of ordering linguistic summaries of data in terms of quality, and we propose a model of quality on the basis of four basic criteria. The importance of the user in the definition and the properties of ordering relations are stressed in this paper. We illustrate our approach in the specific setting of linguistic summaries of time series data.
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