Ara es mostren els items 1-20 de 66

    • A decision making support tool: The resilience management fuzzy controller 

      González Cardenas, Rubén; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Vellido Alcacena, Alfredo (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Text en actes de congrés
      Accés obert
      In this paper a fuzzy controller capable to perform an automated estimation of the period of time necessary to recover a resilience level is proposed. Estimations where made by considering realistic time-dependent action ...
    • A flexible fuzzy inductive reasoning approach for load modelling able to cope with missing data 

      Jurado Gómez, Sergio; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST), 2015)
      Text en actes de congrés
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      Load forecasting in buildings and homes has been in recent years a task of increasing importance. New services and functionalities can be offered in the home environment due to this predictions, for instance, the detection ...
    • A fuzzy inductive approach for rule-based modelling of high level structures in algorithmic composition systems 

      Múgica Álvarez, Francisco; Paz Ortiz, Alejandro Iván; Nebot Castells, M. Àngela; Romero Merino, Enrique (2015)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Algorithmic composition systems are now widely understood. However, its capacity for producing outputs consistently showing high level structures is still a field of research. In the present work, the Fuzzy Inductive ...
    • A fuzzy rule model for high level musical features on automated composition systems 

      Paz Ortiz, Alejandro Iván; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Romero Merino, Enrique (Springer, 2017)
      Capítol de llibre
      Accés obert
      Algorithmic composition systems are now well-understood. However, when they are used for specific tasks like creating material for a part of a piece, it is common to prefer, from all of its possible outputs, those exhibiting ...
    • A hierarchical perspective to fuzzy inductive reasoning: an attempt to obtain more understandable fuzzy inductive reasoning rules 

      Bagherpour, Solmaz; Múgica Álvarez, Francisco; Nebot Castells, M. Àngela (2015)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      Generalizing hypotheses based on the past data in order to predict the future is the essential core of human learning. Various successful methods and techniques have been developed so far that perform some sort of ...
    • A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration 

      Paz Ortiz, Alejandro Iván; Nebot Castells, M. Àngela; Romero Merino, Enrique; Múgica Álvarez, Francisco; Vellido Alcacena, Alfredo (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Comunicació de congrés
      Accés obert
      Algorithmic composition is the process of creating musical material by means of formal methods. As a consequence of its design, algorithmic composition systems are (explicitly or implicitly) described in terms of parameters. ...
    • A model for continuous monitoring of patients with major depression in short and long term periods 

      Múgica Álvarez, Francisco; Nebot Castells, M. Àngela; Bagherpour, Solmaz; Baladón, Luisa; Serrano, Antoni (2016-12-19)
      Article
      Accés obert
      BACKGROUND AND OBJECTIVE: Major depressive disorder causes more human suffering than any other disease affecting humankind. It has a high prevalence and it is predicted that it will be among the three leading causes of ...
    • A proposal for climate change resilience management through fuzzy controllers 

      González Cárdenas, Rubén; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (SciTePress, 2016)
      Text en actes de congrés
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      We aim towards the implementation of a set of fuzzy controllers capable to perform automated estimation of the period of time necessary to recover a resilience level through the non-linear influence of a set of interrelated ...
    • A prospective fuzzy approach for the development of integral seismic risk scenarios for Barcelona, Spain 

      González Cárdenas, Rubén; Múgica Álvarez, Francisco; Nebot Castells, M. Àngela (SciTePress, 2017)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      We create a set of synthetic seismic risk scenarios by combining stochastic seismic simulations with social fragility indicators by mean of a fuzzy Mamdani type inference nested-model. The original values of the social ...
    • A soft computing decision support framework to improve the e-learning experience 

      Castro Espinoza, Félix Agustín; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (Society for Computer Simulation International San Diego, 2008)
      Text en actes de congrés
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      In this paper an e-learning decision support framework based on a set of soft computing techniques is presented. The framework is mainly based on the FIR methodology and two of its key extensions: a set of Causal Relevance ...
    • Ad-RuLer: A novel rule-driven data synthesis technique for imbalanced classification 

      Zhang, Xiao; Paz Ortiz, Alejandro Iván; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Romero Merino, Enrique (Multidisciplinary Digital Publishing Institute, 2023-11-23)
      Article
      Accés obert
      When classifiers face imbalanced class distributions, they often misclassify minority class samples, consequently diminishing the predictive performance of machine learning models. Existing oversampling techniques predominantly ...
    • An e-Learning toolbox based on rule-based fuzzy approaches 

      Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Castro Espinoza, Félix Agustín (Multidisciplinary Digital Publishing Institute, 2020-09-28)
      Article
      Accés obert
      In this paper, an e-Learning toolbox based on a set of fuzzy logic data mining techniques is presented. The toolbox is mainly based on the fuzzy inductive reasoning (FIR) methodology and two of its key extensions: (i) the ...
    • Aplicación de algoritmos de clustering desarrollados en el entorno FIR a la predicción de la concentración de ozono 

      Gómez Miranda, Pilar; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (2002-06-06)
      Report de recerca
      Accés obert
      El presente trabajo tiene como objetivo estudiar la aplicación de diferentes al-goritmos de clustering desarrollados en el entorno de la metodología FIR al problema de la predicción a largo plazo de las concentraciones ...
    • Automatic construction of rules fuzzy for modelling and prediction of the central nervous system 

      Múgica Álvarez, Francisco; Nebot Castells, M. Àngela; Gómez Miranda, Pilar (2002-07-03)
      Report de recerca
      Accés obert
      The main goal of this work is to study the performance of CARFIR (Automatic Construction of Rules in Fuzzy Inductive Reasoning) methodology for the modelling and prediction of the human central nervous system (CNS). The ...
    • Charting perceptual spaces with fuzzy rules 

      Paz Ortiz, Alejandro Iván; Nebot Castells, M. Àngela; Romero Merino, Enrique; Múgica Álvarez, Francisco (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Comunicació de congrés
      Accés obert
      Algorithmic music nowadays performs domain specific tasks for which classical algorithms do not offer optimal solutions or require user's expertise. Among these tasks is the extraction of models from data that offer an ...
    • Classifying and generalizing successful parameter combinations for sound design 

      Paz, Iván; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Romero Merino, Enrique (IOS Press, 2018)
      Capítol de llibre
      Accés obert
      Operating parametric systems in the context of sound design imposes cognitive and practical challenges. The present contribution applies rule extraction to analyze and to generalize a set of parameter combinations, which ...
    • Comparison between composite index solution surfaces with fuzzy composite index decision surfaces 

      González Cárdenas, Rubén; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Comunicació de congrés
      Accés obert
      Composite indices are used in many of the traditional approaches to measure risk to natural hazards. However, such indices are often built assuming linear interdependencies between the aggregated components, comprising in ...
    • Energy performance forecasting of residential buildings using fuzzy approaches 

      Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (2020-01-20)
      Article
      Accés obert
      The energy consumption used for domestic purposes in Europe is, to a considerable extent, due to heating and cooling. This energy is produced mostly by burning fossil fuels, which has a high negative environmental impact. ...
    • Evolution of the participation of women in university computer science studies in Spain and in Europe 

      Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
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      This paper presents a comprehensive examination of the current state of underrepresentation of women in computer science (CS) degrees in Spain. It offers an overview of the situation across autonomous communities in Spain, ...
    • FONAMENTS D' INFORMÀTICA (Examen 1r quadrimestre, 1r parcial) 

      Múgica Álvarez, Francisco; Vellido Alcacena, Alfredo (Universitat Politècnica de Catalunya, 2012-11-05)
      Examen
      Accés restringit a la comunitat UPC