Information Processing and Management of Uncertainty in Knowledge-Based Systems

21st International Conference, IPMU 2026, Rome, Italy, June 15-19, 2026, Proceedings, Part III
Erscheinungsjahr 2026
ISBN: 978-3-032-28999-5
Verlag: Springer

Buch, Englisch, Band 3021, 554 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 855 g

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Vantaggi, Barbara

Coletti, Giulianella

Denoeux, Thierry

Laurent, Anne

Petturiti, Davide

Miranda, Enrique

Medina, Jesús

Bouchon-Meunier, Bernadette

Yager, Ronald R.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Mathematik | Informatik EDV | Informatik Technische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

.- 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.