Vantaggi / Coletti / Denoeux Information Processing and Management of Uncertainty in Knowledge-Based Systems

21st International Conference, IPMU 2026, Rome, Italy, June 15–19, 2026, Proceedings, Part I
Erscheinungsjahr 2026
ISBN: 978-3-032-28994-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 550 Seiten

Reihe: Artificial Intelligence (R0)

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.

Zielgruppe

Research

Autoren/Hrsg.

Vantaggi, Barbara

Coletti, Giulianella

Denoeux, Thierry

Laurent, Anne

Petturiti, Davide

Miranda, Enrique

Medina, Jesús

Bouchon-Meunier, Bernadette

Yager, Ronald R.

Inhaltsverzeichnis

.- 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.