Advances in Fuzzy Logic and Technology
Description
This two-volume set LNCS 15883-15884 constitutes the proceedings of the 14th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2025, held in Riga, Latvia, during July 21-25, 2025.
The 45 full papers and 8 short papers presented in this book were carefully reviewed and selected from 60 submissions. The papers are divided into special sessions on: fuzzy relations and applications; fuzzy transforms; generalized quantifiers, logical syllogisms and applications; fuzzy entropy; fuzzy metric spaces and their generalizations; information fusion techniques; mathematical fuzzy logic; modeling complex dynamics: adapting analytical tools for diverse scenarios; new contexts in aggregation theory; representing and managing uncertainty; soft methods in statistical inference and data analysis; type 2 fuzzy sets; and advancements and applications of fuzzy theory.
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Content
.- Modeling Complex Dynamics: Adapting Analytical Tools for Diverse Scenarios.
.- Adaptive Fuzzy Level Set Algorithm for Bitcoin Realized Volatility Modeling and Forecasting.
.- Unconstrained Parametrization of Proper Symplectic Decomposition for Learning Hamiltonian Dynamics.
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New Contexts in Aggregation Theory.
.- Prioritized preference aggregation for non-uniform groups of agents.
.- An axiomatic study of the properties satisfied by methods for ranking the elements of a poset.
.- Goodness-of-fit tests to location-scale families based on OWA functions.
.- Multidimensional aggregation and measurement of social poverty.
.- Ontology Aggregation with Maximum Consensus Based on a Fuzzy Multi-Criteria Group Decision Making Method.
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Representing and Managing Uncertainty.
.- How to Deal with High-Impact Low-Probability Events: Theoretical Explanation of the Empirically Successful Fuzzy-Like Technique.
.- Some results on fuzzy basis of fuzzy Lie algebras.
.- Visual comparison of inclusion measures.
.- Implication construction methods on bounded lattices.
.- Idea Management and Game Theory with Uncertain Payoffs.
.- On direct systems of implications with graded attributes.
.- Robust decisions: bridging the quantitative-qualitative gap.
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Soft Methods in Statistical Inference and Data Analysis.
.- A soft clustering method derived from the probabilistic interpretation of Fuzzy C-Means.
.- Alpha-Maxmin Classification with an Ensemble of Structural Restricted Boltzmann Machines.
.- FLIRT-An Algorithm to Enhance a Regression Model with Federated Learning and GAN-Based Resampling.
.- Modeling Treatment Effect with Fuzzy Data.
.- Resampling Approaches for Multivariate Random Interval Numbers.
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Type 2 Fuzzy Sets.
.- A Decision-Making Framework based on Intersection and Similarity measures for Type-2 Fuzzy Sets.
.- About T-norms and T-conorms on new Preorders in Type-2 Fuzzy Sets.
.- Advancements and Applications of Fuzzy Theory.
.- Enhanced Anti-Money Laundering Transaction Monitoring via Fuzzy Equivalence in Rule-Based Systems.
.- An Enhanced Multi Criteria Decision Making Model for Delivery Locker Placement Using TOPSIS and Einstein Operators in a Pythagorean Fuzzy Framework.
.- How to Share a Success, How to Share a Crisis, and How All This Is Related to Fuzzy.
.- Prostate cancer diagnosis: a geometric approach based on the Beer index.