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In many branches of fuzzy sets and systems and its applications it is typical to find definitions that, in an abstract level, correspond to some sort of functional equations. This is the case, to put just a few examples, of REF functions, negations, dissimilarities, different kinds of aggregation operators, implications, norms and co-norms, entropies, etc. One may notice that a remarkable list of concepts differ only on the domain on which they are defined (e.g.: the unit interval, a lattice, the Cartesian product of three copies of the unit interval, the real line), but the nomenclature in each concept and application is usually different, too. We think that it could be interesting to formalize all those concepts in an even more abstract setting, that is, analyzing the corresponding functional equations on a general abstract sets. Of course, once a theory or at least a collection of background results has been got, it could be used in any possible application, just interpreting it in the particular case involved.
Analyze different kinds of functional equations arising in fuzzy settings.
Unify notations and nomenclature
Look for structural results in an abstract ground level
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": Functional equations related to fuzzy sets and systems. You can find further information related to the submission process and important dates at conference web site.
Maria Jesús Campión Arrastia (mjesus.campion@unavarra.es)
Inarbe - Institute for Advanced Research in Business and Economics
Department of Statistics, Computing and Mathematics, Public University of Navarra, Spain
Esteban Induráin Eraso (steiner@unavarra.es)
InaMat - Institute for Advanced Materials
Department of Statistics, Computing and Mathematics, Public University of Navarra, Spain