A Model Based on Computational Perceptions for the Generation of Linguistic Descriptions of Data

TítuloA Model Based on Computational Perceptions for the Generation of Linguistic Descriptions of Data
AutoresA. Ramos-Soto, M. Pereira-Fariña, A. Bugarín, S. Barro
TipoComunicación para congreso
Fonte 2015 IEEE International Conference on Fuzzy Systems, Estambul (Turquía), IEEE, pp. 1-8 , 2015.
ISBN978-1-4673-7428-6
ISSN1098-7584
DOI10.1109/FUZZ-IEEE.2015.7337923
AbstractIn this paper we present a model for building linguistic descriptions of data (LDD) solutions, that is based on computational models of perception inspired in the computational theory of perceptions (CTP) and in fields of knowledge different from the computational intelligence area. The elements in the model aim to consider the richness and complexity that a real LDD process is endowed with and its actual role in natural language generation (NLG) systems. As an example of application, the building of a LDD solution in the meteorology realm is presented.
Palabras chavelinguistic descriptions of data, natural language generation, computing with perceptions