Special Session

Advances on eXplainable Artificial Intelligence

Organized by: Jose M. Alonso, Ciro Castiello, Corrado Mencar, Luis Magdalena

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Note: IEEE WCCI 2020 will be fully online due to COVID-19 outbreak. We will do our best to have an enjoyable and productive session.

Venue: FUZZ-IEEE 2020 conference (to be held as part of the 2020 IEEE WCCI), Glasgow, Scotland, UK, July 19-24, 2020.

You can follow the sessions at:

Preliminary Program: IEEE WCCI 2020 program is online (Grid, Listing).

Papers accepted for this special session will be presented via Zoom (pre-recorded presentations followed by live Q&A) in the following sessions (all program timings according to UK time):

  • Session F-MA2: Advances on eXplainable Artificial Intelligence-I (Monday, July 20, 5:45PM-7:45PM, Room: FUZZ Room 2, Chair: Jose M. Alonso, Ciro Castiello, Corrado Mencar, Luis Magdalena)

5:45PM Generation and Evaluation of Factual and Counterfactual Explanations for Decision Trees and Fuzzy Rule-based Classifiers [#22359]

Ilia Stepin, Jose M. Alonso, Alejandro Catala and Martin Pereira (University of Santiago de Compostela, Spain)

6:05PM Interpreting Remaining Useful Life estimations combining Explainable Artificial Intelligence and domain knowledge in industrial machinery [#22207]

Oscar Serradilla, Ekhi Zugasti, Carlos Cernuda, Andoitz Aranburu, Julian Ramirez de Okariz and Urko Zurutuza (Mondragon Unibertsitatea, Spain; Fagor Arrasate, Spain; Koniker, Spain)

6:25PM HFER: Promoting Explainability in Fuzzy Systems via Hierarchical Fuzzy Exception Rules [#22295]

Jose Ramon Trillo, Alberto Fernandez and Francisco Herrera (University of Granada, Spain)

6:45PM A Type-2 Fuzzy Logic Approach to Explainable AI for regulatory compliance, fair customer outcomes and market stability in the Global Financial Sector [#22095]

Janet Adams and Hani Hagras (TSB Bank, United Kingdom; University of Essex, United Kingdom)

7:05PM An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling [#22269]

Isel Grau, Dipankar Sengupta, Maria M. Garcia Lorenzo and Nowe Ann (Vrije Universiteit Brussel, Belgium; Queens University Belfast, United Kingdom; Central University of Las Villas, Cuba)

7:25PM A preliminary study to apply the Quine McCluskey algorithm for fuzzy rule base minimization [#22298]

Leonardo Jara, Antonio Gonzalez and Raul Perez (University of Granada, Spain)

  • Session F-ME2: Advances on eXplainable Artificial Intelligence-II (Monday, July 20, 8:00PM-10:00PM, Room: FUZZ Room 2, Chair: Jose M. Alonso, Ciro Castiello, Corrado Mencar, Luis Magdalena)

8:00PM An Improved Complexity Measure in Hierarchical Fuzzy Systems [#22169]

Tajul Rosli Razak, Jonathan M. Garibaldi and Christian Wagner (Laboratory for Uncertainty in Data and Decision Making (LUCID), School of Computer Science, University of Nottingham, United Kingdom., United Kingdom)

8:20PM Constrained Interval Type-2 Fuzzy Classification Systems for Explainable AI (XAI) [#22318]

Pasquale D'Alterio, Jonathan Garibaldi and Robert John (University of Nottingham, United Kingdom)

8:40PM Relevance of Using Interpretability Indexes for the Design of Schedulers in Cloud Computing Systems [#22347]

Sebastian Garcia-Galan, Mouad Seddiki, Rocio Perez-Prado, Enrique Munoz-Exposito, Adam Marchewka and Nicolas Ruiz-Reyes (University of Jaen, Spain; University of Science and Technology, Poland)

9:00PM Hybrid Deep Learning Type-2 Fuzzy Logic Systems For Explainable AI [#22130]

Ravikiran Chimatapu, Hani Hagras, Mathias Kern and Gilbert Owusu (University of Essex, United Kingdom; BT plc, United Kingdom)

9:20PM Interpretability and Explainability of LSP Evaluation Criteria [#22042]

Jozo Dujmovic (San Francisco State University, United States)

9:40PM An Interpretable Fuzzy System in the On-line Signature Scalable Verification [#22283]

Marcin Zalasinski, Krzysztof Cpalka and Krystian Lapa (Czestochowa University of Technology, Poland)

  • Session F-FE2: Fuzzy Systems (Friday, July 24, 7:15PM-9:15PM, Room: FUZZ Room 2, Chair: Jesus Chamaro)

7:15PM Experimental Study on Generating Multi-modal Explanations of Black-box Classifiers in terms of Gray-box Classifiers [#22348]

Jose M. Alonso, Javier Toja-Alamancos and Alberto Bugarin (Universidade de Santiago de Compostela, Spain)


In the era of the Internet of Things and Big Data, data scientists are required to extract valuable knowledge from the given data. They first analyze, cure and pre-process data. Then, they apply Artificial Intelligence (AI) techniques to automatically extract knowledge from data.

Our focus is on knowledge representation and how to enhance human-machine interaction. As remarked in the last challenge stated by the USA Defense Advanced Research Projects Agency (DARPA), "even though current AI systems offer many benefits in many applications, their effectiveness is limited by a lack of explanation ability when interacting with humans". Accordingly, users without a strong background on AI, require a new generation of explainable AI systems (XAI in short). They are expected to naturally interact with humans, thus providing comprehensible explanations of decisions automatically made. Thus, the goal of this special session is to discuss and disseminate the most recent advancements focused on explainable AI. The session goes a step ahead with respect to the previous events we organized in some other conferences: XAI@INLG2019, XAI@FUZZ-IEEE2019, XAI@IEEESMC, IPMU2018, FUZZ-IEEE2017, IFSA-EUSFLAT2015, EUSFLAT 2013, IEEEWCCI 2012, IEEEWCCI 2010, and joint IFSA-EUSFLAT 2009. Moreover, this session is supported by the H2020 MSCA-ITN-2019 NL4XAI project.

The aim of this session is to offer an opportunity for researchers and practitioners to identify new promising research directions on XAI and to provide a forum to disseminate and discuss XAI, with special attention to Interpretable Fuzzy Systems. Notice that about 30% of publications in Scopus (20 October 2017) regarding XAI came from authors well recognized in the field of Fuzzy Logic, as described in the following publication:

Jose M. Alonso, C. Castiello, C. Mencar, "A Bibliometric Analysis of the Explainable Artificial Intelligence Research Field", 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Cádiz, Spain, Springer, CCIS 853:2-15, 2018.


  • Explainable Computational Intelligence
  • Theoretical Aspects of Interpretability
  • Dimensions of Interpretability: Readability versus Understandability
  • Learning Methods for Interpretable Systems and Models
  • Interpretability Evaluation and Improvements
  • Models for Explainable Recommendations
  • Design Issues
  • Successful Applications of Interpretable AI Systems
  • Interpretable Machine Learning
  • Interpretable Fuzzy Systems
  • Relations between Interpretability and other Criteria (such as Accuracy, Stability, Relevance, etc.)
  • Explainable Agents
  • Self-explanatory Decision-Support Systems
  • Argumentation Theory for Explainable AI
  • Natural Language Generation for Explainable AI
  • Human-Machine Interaction for Explainable AI


Papers submitted for this special session are to be peer-reviewed with the same criteria used for the rest of contributed papers to the general track of the conference. As a result, all accepted papers will be included in the proceedings of the IEEE-WCCI 2020. If you are interested in taking part in this special session, please submit your paper directly through the IEEE-WCCI2020 submission website selecting the option:

"Main research topic": S04 - Advances on Explainable Artificial Intelligence


  • Paper submission: January 15th, 2020 January 30th, 2020
  • Acceptance/rejection notification: March 15th, 2020
  • Camera-ready paper submission: April 15th, 2020
  • Conference dates: July 19-24, 2020

Program Committee


  • Rafael Alcalá, University of Granada (Spain)
  • Alberto Bugarín, University of Santiago de Compostela (Spain)
  • Giovanna Castellano, University of Bari (Italy)
  • Pietro Ducange, Univesity of Pisa (Italy)
  • Albert Gatt, University of Malta (Malta)
  • Uzay Kaymak, Eindhoven University of Technology (Netherlands)
  • Yusuke Nojima, Osaka Prefecture University (Japan)
  • Edy Portmann, Human-IST Institute (Switzerland)
  • Ehud Reiter, University of Aberdeen (UK)
  • Clemente Rubio-Manzano, University of Bio-Bio (Chile)
  • Jose Manuel Soto-Hidalgo, University of Cordoba (Spain)
  • Daniel Sánchez, University of Granada (Spain)
  • Luis Terán, Human-IST Institute (Switzerland)

José M. Alonso (josemaria.alonso.moral@usc.es)

Research Centre in Information Technologies (CiTIUS)

University of Santiago de Compostela (USC)

Campus Vida, E-15782, Santiago de Compostela, Spain

Ciro Castiello (ciro.castiello@uniba.it)

Department of Informatics

University of Bari “Aldo Moro”, Bari, Italy

Corrado Mencar (corrado.mencar@uniba.it)

Department of Informatics

University of Bari “Aldo Moro”, Bari, Italy

Luis Magdalena (luis.magdalena@upm.es)

Department of Applied Mathematics, School of Informatics

Universidad Politécnica de Madrid (UPM), Spain