Information Processing and Management of Uncertainty in Knowledge-Based Systems

21st International Conference, IPMU 2026, Rome, Italy, June 15–19, 2026, Proceedings, Part II

AvBarbara Vantaggi,Giulianella Coletti

Häftad, Engelska, 2026

Del i serien Communications in Computer and Information Science

1 800 kr

Kommande

Beskrivning

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; Data mining.

Produktinformation

Utgivningsdatum:2026-07-10
Mått:155 x 235 x undefined mm
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:496
Förlag:Springer Nature Switzerland AG
ISBN:9783032289964

Utforska kategorier

Hårdvara inom Data och IT
Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

.- Robustness in economics and finance..- Fuzzy Extensions of SDEs and the Non-Overlap of Crisp and FuzzySolution Trajectories..- A fuzzy variational model for spatial innovation diffusion with uncertaininter-regional influence..- A Risk Management Agent with Uncertainty Quantification forFinancial Trading..- Credal Ensemble Classification with Structural DiscriminativeGaussian-Bernoulli RBMs..- Enforcing Sparsity of Imprecise Transport Plans in Dempster-ShaferOptimal Transport..- On the Calculation and Risk Analysis of Finite Interval Predictors..- Foundations of fuzzy sets..- New negations for notable restrictions on the membership degrees oftype-2 fuzzy sets..- On type reductions with quantale based fuzzy sets ..- A preliminary study on the use of dCF-integrals in Fuzzy Rule-BasedClassification Systems for Class Imbalance..- A duality relationship between similarity metrics and Mathew’s partialmetrics based on boundedness..- Representation of quasi-(pesudo-)metrics by means of fuzzy sets..- Behaviour of Morphological Operators in L-powersets of AdditiveGroups Under Powerset Operators..- Penrose-Banzhaf Weighted Aggregation Operator with Sugeno-Webert-norms for Intuitionistic Fuzzy Valued Neutrosophic Sets: A SpatialMulti-Criteria Decision Illustration..- Picture Fuzzy Set–Based Approach for Classification..- On admisible interval orders and partial metrics on discrete fuzzy numbers..- Fuzzy and multivalued logic..- Optimizing de Finetti’s Coherence: a Complexity Analysis..- On the complexity of the logics of strongly perfect MTL-algebras andrelated systems..- Quantum-Inspired Fuzzy Committee Optimization for BlockchainConsensus..- Ideally Exact Categories, Varieties of Universal Algebras andMulti-Valued Logics..- Fuzzy Rule-Based Approach for Weighting Artificial Experts involvedin a Multi-Criteria Group Decision-Making Problem..- Functors between Fuzzy Varieties..- Uncertainty-Aware Graph Integration: A Fuzzy Logic Approach withComparative Analysis..- On Veracity Handling in Document Stores: A Novel Technique Based on L-graded Logic Running on the J-CO Framework..- A Max–Min Neural Network Model for Propositional Fuzzy Logic..- Fuzzy and multivalued logic..- An Engineering Methodology for Verifying Compliance with the EU AIAct in Industrial AI Systems..- Neural Networks for Non-Convex Lattice Geometry: Extending Stoka’sTheory with Machine Learning Application to Financial Risk andEconomic Forecasting..- Multi-Objective Optimization and Machine Learning Framework forTax Risk Management: Theory and Applications..- Explainable Uncertainty Quantification for Wastewater TreatmentEnergy Prediction via Interval Type-2 Neuro-Fuzzy System..- Constraint-Based Reliability Estimation in Sparse and Irregular TimeSeries..- Automatic Assessment of Node Compromise Risks in CriticalInfrastructures via a Multi-Stage Uncertainty Reduction Model usingLLMs..- On Counterfactual Explanations and Adversarial Examples forSet-Valued Classifiers..- Comparative reversal learning reveals rigid adaptation in LLMs undernon-stationary uncertainty ..- FIRE: Fuzzy Information for Reconstructing Events..- Leveraging Causal Graphs to Improve LLM-Based Causal Reasoning:an Empirical Study..- Uncertainty Aware Contextual Recommendation under Possible WorldsSemantics.

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