• Fuzzy modeling to deal with uncertainty and explainability 

      Govindarajan, Srivathsan (Universitat Politècnica de Catalunya, 2020-06-25)
      Treball Final de Grau
      Accés obert
      El uso de lógica difusa y específicamente sistemas difusos es ampliamente aceptado en todo tipo de aplicaciones donde los datos son imprecisos o incompletos. Entre sus características principales está la capacidad de modelar ...
    • Rule-based assistance to brain tumour diagnosis using LR-FIR 

      Nebot Castells, M. Àngela; Castro Espinoza, Félix Agustín; Vellido Alcacena, Alfredo; Julià Sapé, Margarida; Arús, Carles (Future Technology Press, 2009-01-31)
      Capítol de llibre
      Accés restringit per política de l'editorial
      This paper describes a process of rule-extraction from a multi-centre brain tumour database consisting of nuclear magnetic res- onance spectroscopic signals. The expert diagnosis of human brain tumours can benefit from ...
    • Using the Fuzzy Inductive Reasoning methodology to improve coherence in algorithmic musical beat patterns 

      Paz Ortiz, Alejandro Iván; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Romero Merino, Enrique (IOS Press, 2014-10-23)
      Capítol de llibre
      Accés obert
      In the present work, the Fuzzy Inductive Reasoning methodology (FIR) is used to improve coherence among beat patterns, structured in a musical A-B form. Patterns were generated based on a probability matrix, encoding a ...