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  • María José Gacto, Marta Galende, Rafael Alcalá, Francisco Herrera
  • Mathematics, Computer Science
  • Inf. Sci.
  • 2014 (First Published: 20 August 2014)
  • In this contribution, we propose a two-stage method for Accurate Fuzzy Modeling in High-Dimensional Regression Problems using Approximate Takagi-Sugeno-Kang Fuzzy Rule-Based Systems. In the firstContinue Reading
  • M. Isabel Rey, Marta Galende, Maria J. Fuente, Gregorio Ismael Sainz Palmero
  • Computer Science
  • Knowl.-Based Syst.
  • 2017 (First Published: 1 July 2017)
  • Fuzzy rule-based systems (FRBSs) are a common alternative for applying fuzzy logic in different areas and real-world problems. The schemes and algorithms used to generate these types of systems implyContinue Reading
  • M. Isabel Rey, Marta Galende, Gregorio I. Sainz, Maria J. Fuente
  • Computer Science
  • IEEE International Conference on Fuzzy Systems…
  • 2011 (First Published: 1 June 2011)
  • Fuzzy modeling is one of the most known and used techniques in different areas to emulate the behavior of systems and processes. In most cases, as in data-driven fuzzy modeling, these fuzzy modelsContinue Reading
  • M. Isabel Rey, Marta Galende, Gregorio I. Sainz, Maria J. Fuente
  • Computer Science
  • IEEE International Conference on Fuzzy Systems…
  • 2013 (First Published: 1 July 2013)
  • Fuzzy modeling is one of the best known techniques to model systems and processes. In most cases, as in data-driven fuzzy modeling, these fuzzy models reach a high accuracy, but show poor performanceContinue Reading
  • Marta Galende, María José Gacto, Gregorio I. Sainz, Rafael Alcalá
  • Mathematics, Computer Science
  • Inf. Sci.
  • 2014 (First Published: 1 October 2014)
  • This work is devoted to defining more general interpretability indexes to be applied to any scatter or linguistic model implemented by any type of membership functions. They are based on metrics thatContinue Reading
  • María José Gacto, Marta Galende, Rafael Alcalá, Francisco Herrera
  • Computer Science
  • IEEE International Conference on Fuzzy Systems…
  • 2013 (First Published: 1 July 2013)
  • This paper addresses the challenging problem of fuzzy modeling in high-dimensional and large scale regression datasets. To this end, we propose a scalable two-stage method for obtaining accurateContinue Reading