Now showing items 1-20 of 46

  • 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)
    Conference report
    Open Access
    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)
    Conference report
    Open Access
    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, Iván; Nebot Castells, M. Àngela; Romero Merino, Enrique (2015)
    Conference report
    Restricted access - publisher's policy
    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, Iván; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Romero Merino, Enrique (Springer, 2017)
    Part of book or chapter of book
    Open Access
    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)
    Conference lecture
    Restricted access - publisher's policy
    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 ...
  • Un algoritmo para la extracción automática de reglas lógicas a partir de modelos FIR 

    Castro Espinoza, Félix Agustín; Nebot Castells, M. Àngela (2007-01)
    External research report
    Open Access
    In this report the LR-FIR (Logical Rules with FIR) algorithm is described. The main goal of LR-FIR is to extract, in an automatic way, a set of logical rules that explain system’s behaviour. The algorithm starts from the ...
  • A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration 

    Paz Ortiz, Iván; Nebot Castells, M. Àngela; Romero Merino, Enrique; Múgica Álvarez, Francisco; Vellido Alcacena, Alfredo (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference lecture
    Open Access
    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
    Open Access
    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 ...
  • 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)
    External research report
    Open Access
    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 ...
  • A proposal for climate change resilience management through fuzzy controllers 

    González Cárdenas, Rubén; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (SciTePress, 2016)
    Conference report
    Open Access
    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)
    Conference report
    Restricted access - publisher's policy
    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)
    Conference report
    Open Access
    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 ...
  • 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)
    External research report
    Open Access
    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 ...
  • A weighted Cramér’s V Index for the assessment of stability in the fuzzy clustering of class C G protein-coupled receptors 

    Vellido Alcacena, Alfredo; Halka, Christiana; Nebot Castells, M. Àngela (Springer, 2015)
    Conference report
    Open Access
    After decades of intensive use, K-Means is still a common choice for crisp data clustering in real-world applications, particularly in biomedicine and bioinformatics. It is well-known that different initializations of the ...
  • A weighted Cramer's V index for the assessment of stability in the fuzzy clustering of class C G protein-coupled receptors 

    Vellido Alcacena, Alfredo; Halka, Christiana; Nebot Castells, M. Àngela (Springer, 2015)
    Part of book or chapter of book
    Open Access
    After decades of intensive use, K-Means is still a common choice for crisp data clustering in real-world applications, particularly in biomedicine and bioinformatics. It is well-known that different initializations of the ...
  • Classifying and generalizing successful parameter combinations for sound design 

    Paz, Iván; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Romero Merino, Enrique (IOS Press, 2018)
    Part of book or chapter of book
    Open Access
    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 ...
  • Customer continuity management as a foundation for churn data mining 

    García, David L.; Vellido Alcacena, Alfredo; Nebot Castells, M. Àngela (2007-01)
    External research report
    Open Access
    This report lays the first theoretical foundations for a research program on analytical churn management. In the current hypercompetitive business scenario, firms have to bend over backwards in their strategies both to ...
  • Detecció de fallades en un sistema de piles de combustible 

    Escobet Canal, Antoni; Nebot Castells, M. Àngela (2010-02-15)
    External research report
    Open Access
    In this work a fault diagnosis system for non-linear plants based on fuzzy logic, called VisualBlock-FIR, is presented and applied to an energy generation system based on fuel cells. VisualBlock-FIR runs under the Simulink ...
  • Detecció i identificació de falles en una xarxa de distribució d'aigües 

    Escobet Canal, Antoni; Nebot Castells, M. Àngela (2001-04)
    External research report
    Open Access
    This technical report deals with two of the main tasks of Fault Monitoring Systems (FMS): fault detection and fault identification. During fault detection, the FMS should recognize that the plant behavior is abnormal, ...
  • Feature selection algorithms: a survey and experimental evaluation 

    Molina, Luis; Belanche Muñoz, Luis Antonio; Nebot Castells, M. Àngela (2003-02)
    External research report
    Open Access
    In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certain situations. This work reviews several ...