All Stories

  1. One-step models for soft computing techniques. Industrial application to image processing in quality assurance process

    Article • The International Journal of Advanced Manufacturing Technology, May 2015, Springer Science + Business Media

    Dr Gerardo Maximiliano Mendez, Dr. Pascual Noradino Montes Dorantes

  2. Finishing mill strip gage setup and control by interval type-1 non-singleton type-2 fuzzy logic systems

    Article • Applied Soft Computing, November 2014, Elsevier

    Dr Gerardo Maximiliano Mendez

  3. Fault Detection Systems via Fuzzy Systems

    Article • IEEE Latin America Transactions, June 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Gerardo Maximiliano Mendez, Dr. Pascual Noradino Montes Dorantes

  4. A hybrid learning method composed by the orthogonal least-squares and the back-propagation learning algorithms for interval A2-C1 type-1 non-singleton type-2 TSK fuzzy logic systems

    Article • Soft Computing, April 2014, Springer Science + Business Media

    Dr Gerardo Maximiliano Mendez

  5. A non-linear fuzzy regression for estimating reliability in a degradation process

    Article • Applied Soft Computing, March 2014, Elsevier

    Dr Gerardo Maximiliano Mendez

  6. Intelligent hybrid-learning mechanism for IT2 TSK NSFLS2 composed by REFIL-BP methods

    Article • June 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Gerardo Maximiliano Mendez

  7. Hybrid learning mechanism for interval A2-C1 type-2 non-singleton type-2 Takagi–Sugeno–Kang fuzzy logic systems

    Article • Information Sciences, January 2013, Elsevier

    Dr Gerardo Maximiliano Mendez

  8. Finishing mill thread speed set-up and control by interval type 1 non-singleton type 2 fuzzy logic systems

    Article • Ironmaking & Steelmaking Processes Products and Applications, July 2012, Taylor & Francis

    Dr Gerardo Maximiliano Mendez

  9. Interval singleton type-2 TSK fuzzy logic systems using orthogonal least-squares and backpropagation methods as hybrid learning mechanism

    Article • December 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Gerardo Maximiliano Mendez

  10. Interval type-2 non-singleton type-2 Takagi-Sugeno-Kang fuzzy logic systems using the hybrid learning mechanism recursive-least-square and back-propagation methods

    Article • December 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Gerardo Maximiliano Mendez

  11. IT2 TSK NSFLS2 ANFIS

    Article • November 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Gerardo Maximiliano Mendez

  12. Modelling and control of coiling entry temperature using interval type-2 fuzzy logic systems

    Article • Ironmaking & Steelmaking Processes Products and Applications, February 2010, Taylor & Francis

    Dr Gerardo Maximiliano Mendez

  13. Interval type-1 non-singleton type-2 fuzzy logic systems are type-2 adaptive neuro-fuzzy inference systems

    Article • International Journal of Reasoning-based Intelligent Systems, January 2010, Inderscience Publishers

    Dr Gerardo Maximiliano Mendez

  14. Type-1 Non-singleton Type-2 Takagi-Sugeno-Kang Fuzzy Logic Systems Using the Hybrid Mechanism Composed by a Kalman Type Filter and Back Propagation Methods

    Article • January 2010, Springer Science + Business Media

    Dr Gerardo Maximiliano Mendez

  15. Hybrid learning for interval type-2 fuzzy logic systems based on orthogonal least-squares and back-propagation methods

    Article • Information Sciences, June 2009, Elsevier

    Dr Gerardo Maximiliano Mendez

  16. Prediction of the MXNUSD Exchange Rate Using Hybrid IT2 FLS Forecaster

    Article • January 2009, Springer Science + Business Media

    Dr Gerardo Maximiliano Mendez

  17. Hybrid Interval Type-1 Non-singleton Type-2 Fuzzy Logic Systems Are Type-2 Adaptive Neuro-fuzzy Inference Systems

    Article • January 2009, Springer Science + Business Media

    Dr Gerardo Maximiliano Mendez

  18. Application of Interval Type-2 Fuzzy Logic Systems for Control of the Coiling Entry Temperature in a Hot Strip Mill

    Article • January 2009, Springer Science + Business Media

    Dr Gerardo Maximiliano Mendez

  19. Interval Type-2 ANFIS

    Article • January 2007, Springer Science + Business Media

    Dr Gerardo Maximiliano Mendez

  20. Modelling recalescence after stock reduction during hot strip rolling

    Article • Ironmaking & Steelmaking Processes Products and Applications, December 2006, Taylor & Francis

    Dr Gerardo Maximiliano Mendez

  21. First-Order Interval Type-1 Non-singleton Type-2 TSK Fuzzy Logic Systems

    Article • January 2006, Springer Science + Business Media

    Dr Gerardo Maximiliano Mendez

  22. Hybrid IT2 NSFLS-1 Used to Predict the Uncertain MXNUSD Exchange Rate

    Article • Springer Science + Business Media

    Dr Gerardo Maximiliano Mendez