{"product_id":"information-processing-and-management-of-uncertainty-in-knowledge-based-systems-ebook-3","title":"Information Processing and Management of Uncertainty in Knowledge-Based Systems","description":"\u003cp\u003e\u003cstrong\u003e.- Aggregation theory.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e.- Two-sample goodness-of-fit tests to a location-scale family using\u003cbr\u003eOWA-based skewness coefficients.\u003c\/p\u003e\n\u003cp\u003e.- Asymptotic confidence intervals for a skewness parameter by using\u003cbr\u003eOWA functions.\u003c\/p\u003e\n\u003cp\u003e.- Derivative for discrete Sugeno integral.\u003c\/p\u003e\n\u003cp\u003e.- A new construction method for uninorms on a bounded lattice through\u003cbr\u003euninorms on its subintervals.\u003c\/p\u003e\n\u003cp\u003e.- Fill-in Restrictions and Conditioning for Measure-Based Level-Set\u003cbr\u003eFunctionals.\u003c\/p\u003e\n\u003cp\u003e.- More on the inclusion–exclusion integral: benchmark interaction\u003cbr\u003eoperators and equivalence concepts.\u003c\/p\u003e\n\u003cp\u003e.- Revisiting Monotonicity of the Inclusion–Exclusion Integral: The Case\u003cbr\u003eof the Arithmetic–Mean Interaction Operator.\u003c\/p\u003e\n\u003cp\u003e.- Using the Sugeno integral with the adaptive Power Measure in the\u003cbr\u003eFuzzy Reasoning Method.\u003c\/p\u003e\n\u003cp\u003e.- Aggregation of random variables under weak stochastic orders.\u003c\/p\u003e\n\u003cp\u003e.- Supervised Learning the Joint Weighted Average – Unique Solutions\u003cbr\u003eand How to Find Them.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e.- Imprecise probabilities.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e.- A Polyhedral Approach to Learning Belief Functions from Imprecise Data.\u003c\/p\u003e\n\u003cp\u003e.- Weighted Total Variation distances for contextual robustification.\u003c\/p\u003e\n\u003cp\u003e.- Propagation of interval belief structures and imprecise copulas for\u003cbr\u003eneural network verification.\u003c\/p\u003e\n\u003cp\u003e.- An order-theoretic study of the credal sets generated by comparative\u003cbr\u003eprobabilities.\u003c\/p\u003e\n\u003cp\u003e.- On the commutativity of the aggregation of capacities and the natural\u003cbr\u003eextension to gambles.\u003c\/p\u003e\n\u003cp\u003e.- Decision making with generalised distortion models.\u003c\/p\u003e\n\u003cp\u003e.- A preliminary study of notions of independence for choice functions.\u003c\/p\u003e\n\u003cp\u003e.- Allowing for imprecision in the game-theoretic characterisation of the\u003cbr\u003ePoisson process.\u003c\/p\u003e\n\u003cp\u003e.- Minimum Expected Utility and Non-maximal Credal Sets in the\u003cbr\u003eUncertain Evidence Framework for Belief Functions.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e.- Knowledge representation and modelling.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e.- Implicative Fuzzy Rules Systems in Water Quality Evaluation and\u003cbr\u003eReasoning.\u003c\/p\u003e\n\u003cp\u003e.- Bipolar max-product equations with ceiling negation.\u003c\/p\u003e\n\u003cp\u003e.- Empirical Likelihood Stacking for Remaining Useful Life Estimation.\u003c\/p\u003e\n\u003cp\u003e.- Tucker unimodal decomposition of discrete probability distributions.\u003c\/p\u003e\n\u003cp\u003e.- Discounting Operators in Belief Functions Theory: Taxonomies and\u003cbr\u003eOperational Analysis.\u003c\/p\u003e\n\u003cp\u003e.- Efficient Exact Decombination for Belief Functions Theory: A\u003cbr\u003eCommonality-Based Framework for Dynamic Reasoning.\u003c\/p\u003e\n\u003cp\u003e.- A possibilistic calculus of guarantees.\u003c\/p\u003e\n\u003cp\u003e.- Extended Predecessor Decoding for Coherent MAP Inference in\u003cbr\u003eNon-Linear Bayesian Models.\u003c\/p\u003e\n\u003cp\u003e.- A Mixed Integer Programming Approach to Solve Probabilistic\u003cbr\u003eArgumentation Tasks.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e.- Statistical inference and data analysis.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e.- Susceptibility of Skin Lesion CNN Classifiers to Increasing Gaussian Noise.\u003c\/p\u003e\n\u003cp\u003e.- A Machine Learning Pipeline for Freight Transport Pricing.\u003c\/p\u003e\n\u003cp\u003e.- Fuzzy Approach for Catastrophic Data Improved with Resampling and\u003cbr\u003eGAN Algorithms.\u003c\/p\u003e\n\u003cp\u003e.- A Bayesian framework for ranking healthcare facilities under uncertainty.\u003c\/p\u003e\n\u003cp\u003e.- Bootstrap Methods for Interval-Valued Time Series.\u003c\/p\u003e\n\u003cp\u003e.- Uncertainty-Aware Repeated-Measures ANOVA for Interval-Valued\u003cbr\u003eData with an Application to Longitudinal CT Tumor Imaging.\u003c\/p\u003e\n\u003cp\u003e.- Classification-aligned Quality Criteria for Fuzzy Linguistic Summaries.\u003c\/p\u003e\n\u003cp\u003e.- Consistency of Explanations in Evolving Supervised Learning Contexts.\u003c\/p\u003e\n\u003cp\u003e.- A Possibilistic k-Modes Approach for Incremental Object Integration.\u003c\/p\u003e\n\u003cp\u003e.- Cautious Self-Learning via Labelwise Uncertainty Quantification.\u003c\/p\u003e","brand":"Barbara Vantaggi","offers":[{"title":"Default Title","offer_id":54187382571335,"sku":"9783032289940","price":171.19,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/information-processing-and-management-of-uncertain-ebook-cover-barbara-vantaggi.webp?v=1781806666","url":"https:\/\/www.cinebuch.de\/products\/information-processing-and-management-of-uncertainty-in-knowledge-based-systems-ebook-3","provider":"CineBuch","version":"1.0","type":"link"}