Special Session: Software for Soft Computing

Organizers: Jesús Alcalá-Fdez, Jose M. Alonso and Jose Manuel Soto-Hidalgo

This session has been accepted for the FUZZ-IEEE 2020 conference which will be held as part of the 2020 IEEE WCCI at July 19-24, 2020. WCCI 2020 will continue as scheduled on 19-24 July, by being converted to an exciting, fully virtual conference, and will not take place physically in Glasgow. For details, see https://wcci2020.org/

WCCI 2020

The term Soft Computing is usually used in reference to a family of several preexisting techniques (Fuzzy Logic, Neuro-computing, Probabilistic Reasoning, Evolutionary Computation, etc.) able to work in a cooperative way, taking profit from the main advantages of each individual technique, in order to solve lots of complex real-world problems for which other classical techniques are not quite well suited.

In the last few years, many software tools have been developed for Soft Computing. Although a lot of them are commercially distributed, unfortunately only a few tools are available as open source software (see the webpage http://sci2s.ugr.es/fss). In the field of evolutionary computation, JCLEC (Java Class Library for Evolutionary Computation), KEEL (Knowledge Extraction based on Evolutionary Learning), and JMetal (Metaheuristic Algorithms in Java) provide nice examples of frameworks for both evolutionary and multi-objective optimization. JavaNNS (Java version of Stuttgart Neural Network Simulator) is probably the best free suite for neural networks. Regarding fuzzy modeling, JFML (the first library in the world that allows to develop fuzzy systems according to the new IEEE Std 1855 published and sponsored by the Standards Committee of the IEEE Computational Intelligence Society), Xfuzzy (a development environment for fuzzy-inference-based systems), FisPro (Fuzzy Inference System Professional), and GUAJE (Generating Understandable and Accurate fuzzy models in a Java Environment) represent very useful tools. Regarding neuro-fuzzy algorithms we can point out to NEFCLASS (Neuro-Fuzzy Classification). Finally, FrIDA (Free Intelligent Data Analysis Toolbox) and KNIME (Konstanz Information Miner) are examples of user-friendly open-source software which offer several individual tools for data processing, analysis and exploration/visualization. Please, notice that such open tools have recently reached a high level of development. As a result, they are ready to play an important role for industry and academia research.

Objectives and Scope

The aim of this session is to provide a forum to disseminate and discuss Software for Soft Computing, with special attention to Fuzzy Systems Software. We want to offer an opportunity for researchers and practitioners to identify new promising research directions in this area.

Potential topics of interest include but are not limited to:

  • Data Preprocessing
  • Data Mining and Evolutionary Knowledge Extraction
  • Modeling, Control, and Optimization
  • System Validation, Verification, and Exploratory Analysis
  • Knowledge Extraction and Linguistic/Graphical Representation
  • Visualization of Results
  • Languages for Soft Computing Software
  • Interoperability
  • Data Science, Big Data, and High Performance Computing (Map-Reduce, GPGPU, Quantum Computing, etc.)
  • Applications

Program Committee

  • Jesús Alcalá-Fdez, University of Granada (Spain)
  • José M. Alonso, Research Centre in Information Technologies of the University of Santiago de Compostela (Spain)
  • Jose Manuel Soto-Hidalgo, University of Cordoba (Spain)
  • Giovanni Acampora, University of Naples (Spain)
  • Plamen Angelov, Lancaster University (United Kingdom)
  • Brigitte Charnomordic, INRA/SupAgro (France)
  • Jose M. Cadenas, University of Murcia (Spain)
  • Oscar Cordon, University of Granada (Spain)
  • Serge Guillaume, Cemagref (France)
  • Chin Teng Lin, National Chiao Tung University (Taiwan)
  • Luis Magdalena, Technical University of Madrid (Spain)
  • Corrado Mencar (Italy)
  • Detlef Nauck, BT's Intelligent Systems Research Centre (United Kingdom)
  • Luciano Sánchez, University of Oviedo (Spain)
  • Christian Wagner, University of Nottingham (UK)


Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the rest of contributed papers. As a result, all accepted papers will be included in the proceedings of the FUZZ-IEEE 2020. If you are interested in taking part on this special session, please submit your paper directly through the WCCI web site selecting the option "Main research topic": Special Session on Software for Soft Computing. You can find further information related to the submission process and important dates at conference web site.

Organizers and Contact

  • Jesús Alcalá-Fdez. Contact information:
    Vice Chair of the Task Force on Fuzzy Systems Software and member of the Fuzzy Systems Technical Committee (FSTC) of the Computational Intelligence Society (CIS) of the IEEE
    Email address: jalcala@decsai.ugr.es
    Postal address: DaSCI Andalusian Research Institute, Department of Computer Science and Artificial Intelligence, University of Granada, E-18071 Granada, Spain
    Telephone number: +34-958-240429
    Fax Number: +34-958-243317
  • Jose M. Alonso. Contact information:
    Chair of the IEEE Task Force on Fuzzy Systems Software
    Email address: josemaria.alonso.moral@usc.es
    Postal address: Research Centre in Information Technologies (CiTIUS), University of Santiago de Compostela, Campus Vida, E-15782, Santiago de Compostela, Spain
    Telephone number: +34-8818-16432
  • Jose Manuel Soto-Hidalgo. Contact information:
    Member of the IEEE Task Force on Fuzzy Systems Software
    Email address: jmsoto@uco.es
    Postal address: Department of Electronics and Computer Engineering, University of Cordoba, E-14071, Cordoba, Spain
    Telephone number: +34-957-212039