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    1. Data och IT
    2. Hårdvara

    Information Processing and Management of Uncertainty in Knowledge-Based Systems

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

    AvBarbara Vantaggi,Giulianella Coletti

    Häftad, Engelska, 2026

    Del 3019 i serien Communications in Computer and Information Science

    1 785 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    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; Fuzzy and multivalued logic.Part III: Preference modelling; Cooperative automated systems; Fuzzy control: methods and applications; Fuzzy implication functions; Data mining.

    Produktinformation

    • Utgivningsdatum:2026-06-15
    • Mått:155 x 235 x 31 mm
    • Vikt:850 g
    • Format:Häftad
    • Språk:Engelska
    • Serie:Communications in Computer and Information Science
    • Antal sidor:550
    • Förlag:Springer Nature Switzerland AG
    • ISBN:9783032289933

    Utforska kategorier

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

    Innehållsförteckning

    • .- Aggregation theory..- Two-sample goodness-of-fit tests to a location-scale family usingOWA-based skewness coefficients..- Asymptotic confidence intervals for a skewness parameter by usingOWA functions..- Derivative for discrete Sugeno integral..- A new construction method for uninorms on a bounded lattice throughuninorms on its subintervals..- Fill-in Restrictions and Conditioning for Measure-Based Level-SetFunctionals..- More on the inclusion–exclusion integral: benchmark interactionoperators and equivalence concepts..- Revisiting Monotonicity of the Inclusion–Exclusion Integral: The Caseof the Arithmetic–Mean Interaction Operator..- Using the Sugeno integral with the adaptive Power Measure in theFuzzy Reasoning Method..- Aggregation of random variables under weak stochastic orders..- Supervised Learning the Joint Weighted Average – Unique Solutionsand 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 forneural network verification..- An order-theoretic study of the credal sets generated by comparativeprobabilities..- On the commutativity of the aggregation of capacities and the naturalextension 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 thePoisson process..- Minimum Expected Utility and Non-maximal Credal Sets in theUncertain Evidence Framework for Belief Functions..- Knowledge representation and modelling..- Implicative Fuzzy Rules Systems in Water Quality Evaluation andReasoning..- 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 andOperational Analysis..- Efficient Exact Decombination for Belief Functions Theory: ACommonality-Based Framework for Dynamic Reasoning..- A possibilistic calculus of guarantees..- Extended Predecessor Decoding for Coherent MAP Inference inNon-Linear Bayesian Models..- A Mixed Integer Programming Approach to Solve ProbabilisticArgumentation 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 andGAN Algorithms..- A Bayesian framework for ranking healthcare facilities under uncertainty..- Bootstrap Methods for Interval-Valued Time Series..- Uncertainty-Aware Repeated-Measures ANOVA for Interval-ValuedData 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.