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; Explainable AI and decision making.
Part III: Preference modelling; Cooperative automated systems; Fuzzy control: methods and applications; Fuzzy implication functions; and Data mining.
Table of Contents:
.- Preference modelling.
.- Utility Estimation from Fuzzy Preference Matrices by Approximating
Consistency.
.- Structural Centrality in Admissible Orders for Interval-Valued Fuzzy
Sets: How the Wisdom of Crowds Operationalizes Consensus Ranking.
.- Dynamic Belief Networks for Data Currency Estimation.
.- Towards a Systematic Open-Source Information Fusion Framework for
Criminal Investigations.
.- On Qualitative Pairwise Comparisons under Insufficient Information.
.- Enhancing the Yuka score: a 2-additive Choquet integral model for
food additive risk assessment.
.- Accounting for controversies in ESG scores: a Fuzzy TOPSIS approach.
.- Handling inconsistency caused by an inadequate preferential model
choice in uncertain preferences elicitation.
.- Cooperative automated systems.
.- A TOPSIS-based cooperative strategy for solving imprecise MCDM
problems.
.- A Cooperative ADM System for Fuzzy Multi-objective Optimization.
.- Cooperative Multi-Strategy Assisted Reinforcement Learning in
Agent-Based Simulation of Industrial Safety Compliance.
.- Post-Insolvency Zombification in SMEs: A Cooperative AI-Based
Predictive Framework.
.- A Cooperative AI Framework for Risk-Sensitive Microcredit Pricing:
PD Estimation and IRB-Based Interest Rates in Microfinance.
.- A Cooperative and Context-Aware Approach for Employee Attrition
Prevention.
.- Fuzzy control: methods and applications.
.- Fuzzy BWM–Based Pension Sustainability Index.
.- Human-Robot Avoidance Under Uncertainty Using Fuzzy
Approximation and Gaussian Sigma-Points.
.- Neuro-Fuzzy Identification of Pneumatic Levitation Dynamics for
Cyberattack-Aware Control Monitoring.
.- Fuzzy Logic Controller for Room Temperature Regulation: A
Co-Simulation Study with HOME I/O and MATLAB.
.- Fuzzy Causal Loop Diagrams: structure-informed diagrams enabling
qualitative information for computational analysis of systems.
.- Fuzzy Fingerprints in Limited Discrete Feature Spaces.
.- Transport Mode Detection: A Novel Framework for Mode Classification
Using Machine Learning.
.- Transfer Learning with Graph Neural Networks for Cross-Scale
Complexity in Vehicle Routing.
.- Fuzzy implication functions.
.- Methods for constructing implications on bounded posets.
.- S-generalized pseudo-multidistances from fuzzy implications.
.- Semi-graphoids viewed as collections of posets.
.- Extended Peterson’s Rules for Syllogisms Related to Graded Peterson’s
cube of opposition.
.- Pair Comparators: a Family of Connectives Related to Logical Proportions.
.- Implication-based qualitative integrals and a logical formalization.
.- Data mining.
.- Reformulating Influence Maximization through Descriptive Clustering.
.- Evaluating Zero-Shot Vision–Language Models for Agri-Food Image
Classification.
.- DNA-Based Emotion Sequences for Identifying Fake News.
.- Take Care when Tuning Bayesian Networks.
.- On Item Selection Algorithms for Noisy-AND Computerized Adaptive
Testing.
.- MisShapForest: Reliable Missing Data Imputation via SHAP-enhanced
MissForest.
.- Uncertainty-Driven Imbalanced Image Classification: Enhancing
Robustness with GANs and Evidence Theory.
.- Handling Veracity in Multi-class SVM Classification.
.- Compatibility-based Similarity Learning for Case Base Prediction.
