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Titlebook: Integrated Uncertainty in Knowledge Modelling and Decision Making; 10th International S Van-Nam Huynh,Bac Le,Youji Kohda Conference proceed

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0-1 Combinatorial Optimization Problems with Qualitative and Uncertain Profitsthat under probabilistic uncertainty and a special case of evidential uncertainty where the focal sets are rectangles, the task of identifying the non-dominated solutions can be framed as solving a multi-objective version of the considered problem. This result mirrors that of the case of qualitative profits with no uncertainty.
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Lasso and Ridge for GARCH-X Modelsness of our proposed algorithms, we conduct an empirical analysis of the US stock market. Our results indicate that by imposing a specific constraint on the penalty parameters, the Lasso and Ridge estimators can significantly enhance the volatility forecasting performance of different GARCH-type models.
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Conference proceedings 2023, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023.. .The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all
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Free Quantification in Four-Valued and Fuzzy Bilattice-Valued Logicsnd non-existing objects into two subdomains, making it possible to quantify either over all objects or existing objects only. We also outline a fuzzy variant of the dual-domain semantics, accommodating non-denoting terms in fuzzy contexts that can be partially indeterminate or inconsistent.
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Different Types of Decision Criteria in a Decision Problemriteria and the ideal and negative alternatives if there are in a decision maker’s mind. We propose the models to obtain local evaluations of alternatives under each type of criterion. The processes are built to normalization as a premise since the local evaluations under all criteria are aggregated into overall evaluations.
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0302-9743 ion Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023.. .The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involve
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Fast – Asymptotically Optimal – Methods for Determining the Optimal Number of Featuresain worsen the results. The usual method of selecting the proper number of features is to add features one by one until the quality stops improving and starts deteriorating again. This method works, but it often takes too much time. In this paper, we propose faster – even asymptotically optimal – methods for solving the problem.
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