Fwd: FLINS-ISKE 2026 special session (Sydney, July 15-19, 2026)

[Benjamín René Callejas Bedregal]

---------- Forwarded message ---------
De: JAVIER MONTERO <mo...@mat.ucm.es>
Date: seg., 23 de fev. de 2026 18:10
Subject: FLINS-ISKE 2026 special session (Sydney, July 15-19, 2026)
To:

Dear colleague, dear friend, excuse me for multiple posting,

Please let me kindly remind you that you are still on time to submit a paper to the FLINS-ISKE 2026 conference, to be held in Sydney, Australia, July 15-19, 2026. The current deadline of submission is 1 March, but for Special Sessions, the deadline can be extended to 15 March.

Please also note that you can submit a full paper (12 pages excluding references, to be published in the Springer LNCS proceedings if accepted), but that you can also consider an abstract-only submission (up to 2 pages). 

Both oral and poster presentations are permitted.

It would be great if you can join us!

Please have a look to https://2026.flins.cc/index.html or https://2026.flins.cc/submissions.html.

Best regards,

Javier Montero

Session title: Information Aggregation tools for Artificial Intelligence

 

Brief description of scope and motivation: 

The technological revolution that comes with Artificial Intelligence is changing our world and the way we look at reality, supported by a massive access to recorded data.

But a previous stage to deal with such a massive recording is the availability of a wide and flexible family of aggregative tools, to properly describe information in such a way that not only explainable decisions can be reached,

but also that improvements can be suggested in our learning system, and even detect possibilities for innovation. This situation might imply a revision of some classical statistical approaches

that should be linked with alternative models for uncertainty besides Probability, similarly as the human brain does, capturing essential information (including emotions) by means of fuzzy concepts.

In this special session we pursue to explore the latest theoretical advances in the design of aggregation tools, and also their application in any field of knowledge  

that implies the management of information in any possible format (numerical, graphical, linguistic, visual, sound, etc.)  

 

Names and contact information: 

Javier Montero and Daniel Gomez, Complutense University of Madrid, Spain (javier_...@mat.ucm.es, dag...@estad.ucm.es).

 

Brief biographical details of organizers: 

Javier Montero is Full Professor at Complutense University of Madrid. He has been leading competitive research projects since 1987 and has published more than 150 contributions in refereed journals, 

mainly devoted to the theory and applications of fuzzy sets, plus a similar number of papers as book chapters. 

He has served the scientific community as President of the European Society for Fuzzy Logic and Technologies (EUSFLAT) and as President of the International Fuzzy Systems Association (IFSA). 

He has been also Vice-Rector at Complutense University of Madrid, Dean of the Faculty Mathematics at this University, and Head of its Department of Statistics and Operational Research.

Javier Montero has been acknowledged as "IFSA Fellow”, “EUSFLAT Honorary Member” and “Adopted Son” of the town Villanueva de los Infantes (La Mancha, Spain). 

He is also acknowledged as a member of the European Academy of Sciences and Arts.  

Daniel Gómez is a full professor at the department of Statistics and Data Science, Faculty of Statistics, Complutense of Madrid. 

He holds a Ph.D. in Mathematics from Complutense University since 2003 and has been member of different research projects since 2000, 

including 8 projects of the General Research Plan (24 years in total), in addition to other projects at international, national and regional level. 

Currently, he is “principal researcher” (I.P) (his third project as IP) of a General research plan project, he is the director of the UCM research group (“DATA SCIENCE AND SOFT COMPUTING FOR SOCIAL ANALYTICS AND DECISION AID”). 

Also, he was the coordinator of the Phd program in Data Science of university Complutense de Madrid and he is the director of the Statistics and Data Science Research Institute of UCM since 2024. 

He is author of more than 100 articles in journals with relative impact (JCR+SSR), about 150 research papers in located in the ISI Web of Knowledge and more than 130 jobs located in SCOPUS. 

His main lines of research are, among others, supervised and unsupervised classification problems, Decision Making, problems associated with the processing of soft information 

(with applications for satellite and digital image analysis, index generation, analysis of social networks, among others), game theory and graph theory among others.