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Available from: Juan Moreno García, Jul 28, 2014
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    ABSTRACT: The aim of this paper is to present an algorithm to induce the Temporal Fuzzy Chains (TFCs) (J. Moreno, 2002b). TFCs are used to model the dynamic systems in a linguistic manner. TFCs make use of two different concepts: the traditional method to represent the dynamic systems named state vectors (Ogata, 1998), and the linguistic variables (Zadeh, 1975) used in fuzzy logic (Tanaka, 1998). Thus, TFCs are qualitative and represents the "temporal zones" using linguistic states and linguistic transitions between the linguistic states.
  • 01/1997; Springer., ISBN: 978-0-387-94807-2
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    ABSTRACT: Abstract The aim of this paper is to present the Temporal Fuzzy Models (TFMs). These models are used to represent the systems that change in time, i. e., dynamic systems. Temporal fuzzy rules of TFMs are ordered, so each rule represents a ”temporal zone”. An algorithm is presented to obtain the TFM. This algorithm needs as input a fuzzy model based in linguistic labels. An inference method is presented too. Finally, a fuzzy model of a shot put of the Spanish athlete Manuel Martinez is obtained with the direct linguistic induction algorithm [7] that is used as input. Keywords: Models induction, linguistic models,
    Proceedings of the International Conference on Artificial Intelligence, IC-AI '02, June 24 - 27, 2002, Las Vegas, Nevada, USA, Volume 1; 01/2002