Special Session
Special Session on
Logic-based Aggregation in Data Science -
LogAggDS
2025
22 - 24 October, 2025 - Marbella, Spain
Within the 17th International Joint Conference on Computational Intelligence - IJCCI 2025
* CANCELLED *
CO-CHAIRS
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Pavle Milosevic
University of Belgrade
Serbia
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Edy Portmann
University of Fribourg
Switzerland
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Brief Bio
He's a Swiss Post Professor of Informatics at the Human-IST Institute of the University of Fribourg. His transdisciplinary research focuses on soft and cognitive computing and its application to cities. After an apprenticeship as an electrician, he studied business informatics and got a doctorate in fuzzy systems. Among others, he worked for Swisscom, PwC and EY. In addition, he was also a researcher at the universities of Singapore, Berkeley and Bern.
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Allel Hadjali
LIAS/ENSMA, Poitiers
France
https://www.lias-lab.fr/members/allelhadjali
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Brief Bio
Allel Hadjali is Full Professor in Computer Science at the National Engineering School for Mechanics and Aerotechnics (ISAE-ENSMA), Poitiers, France. He is a member of the Data and Model Engineering research team of the Laboratory of Computer Science and Automatic Control for Systems (LIAS). His main area of research falls within Data Science field, and more specifically, the research topics related to Data Exploitation and Analysis (sensor data, semantic data, incomplete data), Knowledge Extraction and Recommendation. His current research interests include Soft Computing and Computational Intelligence in Databases (Cooperative/Intelligent Databases, Data fusion/integration, Data quality, Data Uncertainty, Data Privacy and Trust), Machine Learning-based Recommendation, Explainable Artificial Intelligence. His recent works were published in well-known journals (e.g., Applied Soft Computing, Knowledge and Information Systems, Fuzzy Sets and Systems, International Journal of Intelligent Systems, Journal of Intelligent Information Systems). He also published several papers in International Conferences (e.g., ESWC, ICTAI, WISE, Fuzz-IEEE, DEXA, FQAS, SUM, ISMIS, IPMU, CoopIS, IFSA, ACM SAC). He co-organized several special sessions, e.g., « Advances in Data Management in the Context of Incomplete Databases » in conjunction with IFSA (2015) Conference and « Uncertainty in Cloud Computing » in conjunction with DEXA (2017) Conference. He co-organized also several special issues in well-known journals, among them, « On Advances in Soft Computing Applied to Databases and Information Systems » in Fuzzy Sets and Systems Journal (2011), « Post LFA 2015 Conference » in Fuzzy Sets and Systems Journal (2017), « Uncertain Cloud » in International Journal of Approximate Reasoning (2019). The complete list of his publications is available in http://www.lias-lab.fr/members/allelhadjali
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SCOPE
Evaluation, classification, ranking, and related tasks should reflect human-observable properties of reasoning. The same principle should apply when machine learning models learn aggregation parameters, incorporating a human-in-the-loop to guide aggregation behavior. The goal of the proposed special session is to explore the latest theoretical advancements in logic-based data aggregation approaches and their applications in the field of data science. As data science becomes increasingly complex, the integration of logic-based methods becomes essential to develop robust models capable of addressing real-world challenges. Classification and evaluation should not neglect complex statistical and logic relations between attributes and their values, while solutions are explainable and interpretable. We are particularly interested in both novel developments and recent advancements in well-established logic-based approaches, such as the Choquet integral, Ordered Weighted Averaging (OWA) operators, ordinal sums of logic functions, logic aggregation based on the Interpolation-Based Approach (IBA), and Logic Scoring of Preference (LSP), among others.
Finally, this special session will provide a forum for researchers and practitioners to share progress and applications of logic-based data aggregation techniques across diverse domains, including ethics, business and finance, healthcare, computer vision, smart cities, ecology, and beyond.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
- Ordinal sums (OS) in classification and evaluation;
- Logic aggregation (LA) based on interpolative Boolean algebra (IBA) in decision making;
- Logic Scoring of Preference (LSP) decision method;
- Mixed aggregation functions and their varieties;
- Fuzzy logic and interval-valued fuzzy logic approaches to decision making;
- Real-valued logic-based operators in evaluation and classification context;
- Importance weighting and human-centric logic aggregation;
- Logic aggregator modeling experiments with human subjects.
IMPORTANT DATES
Paper Submission:
July 31, 2025
Authors Notification:
September 8, 2025
Camera Ready and Registration:
September 17, 2025
SPECIAL SESSION PROGRAM COMMITTEE
Available soon.
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
PUBLICATIONS
After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference - and abstracted/indexed in DBLP, Google Scholar, EI-Compendex, INSPEC, Japanese Science and Technology Agency (JST), Norwegian Register for Scientific Journals and Series, Mathematical Reviews, SCImago, Scopus and zbMATH. CCIS volumes are also submitted for the inclusion in ISI Proceedings.