Fuzzy reference model for daily outdoor air temperature

• Eugenio Fco. Sánchez Úbeda ^[1] ; Ana Berzosa Muñoz ^[1]
  1. [1] Universidad Pontificia Comillas

     Universidad Pontificia Comillas

     Madrid, España

     
• Localización: Actas del III Taller Nacional de Minería de Datos y Aprendizaje / Roberto Ruiz (aut.) , José Cristobal Riquelme Santos (aut.) , Jesús Salvador Aguilar-Ruiz (aut.) , 2005, ISBN 84-9732-449-8, págs. 271-278
• Idioma: inglés
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• Resumen

  • In this paper it is proposed a new methodology for modeling daily outdoor air temperature based on the Linear Hinges Model (LHM). In particular, the proposed model tries to capture the seasonal evolution of temperature throughout the year and it consists of two terms: the deterministic component describing the expected temperature, and the stochastic component describing the variance. Using a fuzzy representation of the LHM, a set of humanly understandable fuzzy rules are obtained. These rules are useful to describe qualitatively the evolution of temperature throughout the year. Several application examples are shown and salient features of the model are also discussed