This three-volume set CCIS 3019-3021 constitutes the proceedings of the 21st International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2026, held in Rome, Italy, during June 15-19, 2026.
The 111 full papers included in these volumes were carefully reviewed and selected from 254 submissions. They are organized into topical sections as follows:
Part I: Aggregation theory; Imprecise probabilities; Knowledge representation and modelling; Statistical inference and data analysis.
Part II: Robustness in economics and finance, Foundations of fuzzy sets; Fuzzy and multivalued logic; Fuzzy and multivalued logic.
Part III: Preference modelling; Cooperative automated systems; Fuzzy control: methods and applications; Fuzzy implication functions; Data mining.
Table of Contents:
.- Aggregation theory.
.- Two-sample goodness-of-fit tests to a location-scale family using
OWA-based skewness coefficients.
.- Asymptotic confidence intervals for a skewness parameter by using
OWA functions.
.- Derivative for discrete Sugeno integral.
.- A new construction method for uninorms on a bounded lattice through
uninorms on its subintervals.
.- Fill-in Restrictions and Conditioning for Measure-Based Level-Set
Functionals.
.- More on the inclusion–exclusion integral: benchmark interaction
operators and equivalence concepts.
.- Revisiting Monotonicity of the Inclusion–Exclusion Integral: The Case
of the Arithmetic–Mean Interaction Operator.
.- Using the Sugeno integral with the adaptive Power Measure in the
Fuzzy Reasoning Method.
.- Aggregation of random variables under weak stochastic orders.
.- Supervised Learning the Joint Weighted Average – Unique Solutions
and How to Find Them.
.- Imprecise probabilities.
.- A Polyhedral Approach to Learning Belief Functions from Imprecise Data.
.- Weighted Total Variation distances for contextual robustification.
.- Propagation of interval belief structures and imprecise copulas for
neural network verification.
.- An order-theoretic study of the credal sets generated by comparative
probabilities.
.- On the commutativity of the aggregation of capacities and the natural
extension to gambles.
.- Decision making with generalised distortion models.
.- A preliminary study of notions of independence for choice functions.
.- Allowing for imprecision in the game-theoretic characterisation of the
Poisson process.
.- Minimum Expected Utility and Non-maximal Credal Sets in the
Uncertain Evidence Framework for Belief Functions.
.- Knowledge representation and modelling.
.- Implicative Fuzzy Rules Systems in Water Quality Evaluation and
Reasoning.
.- Bipolar max-product equations with ceiling negation.
.- Empirical Likelihood Stacking for Remaining Useful Life Estimation.
.- Tucker unimodal decomposition of discrete probability distributions.
.- Discounting Operators in Belief Functions Theory: Taxonomies and
Operational Analysis.
.- Efficient Exact Decombination for Belief Functions Theory: A
Commonality-Based Framework for Dynamic Reasoning.
.- A possibilistic calculus of guarantees.
.- Extended Predecessor Decoding for Coherent MAP Inference in
Non-Linear Bayesian Models.
.- A Mixed Integer Programming Approach to Solve Probabilistic
Argumentation Tasks.
.- Statistical inference and data analysis.
.- Susceptibility of Skin Lesion CNN Classifiers to Increasing Gaussian Noise.
.- A Machine Learning Pipeline for Freight Transport Pricing.
.- Fuzzy Approach for Catastrophic Data Improved with Resampling and
GAN Algorithms.
.- A Bayesian framework for ranking healthcare facilities under uncertainty.
.- Bootstrap Methods for Interval-Valued Time Series.
.- Uncertainty-Aware Repeated-Measures ANOVA for Interval-Valued
Data with an Application to Longitudinal CT Tumor Imaging.
.- Classification-aligned Quality Criteria for Fuzzy Linguistic Summaries.
.- Consistency of Explanations in Evolving Supervised Learning Contexts.
.- A Possibilistic k-Modes Approach for Incremental Object Integration.
.- Cautious Self-Learning via Labelwise Uncertainty Quantification.
