Titlebook: Integrated Uncertainty in Knowledge Modelling and Decision Making; 8th International Sy Van-Nam Huynh,Tomoe Entani,Pisal Yenradee Conferenc

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PM 2.5 Problem in Chiang Mai, Thailand: The Application of Maximizing Expected Utility with Imbalancproblem occurs during the dry season from January to May. Undoubtedly, an efficient prediction model will significantly improve public safety and mitigate damage caused. Nonetheless, particular groups of people, especially ones who are vulnerable to the pollution, may prefer the prediction to be ove

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Unit Commitment Problem in the Deregulated Marketmarket. Companies participating in the market conduct transactions between market participants to maximize their profits. When companies consider maximization of their profit, it is necessary to optimize operation of generators in consideration of market transactions. However, it is not easy to cons

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Rank Estimators for Robust Regression: Approximate Algorithms, Exact Algorithms and Two-Stage Methodof Jaeckel’s dispersion function. We study algorithms for minimization of the function. Based on P-completeness arguments, we show that the minimization is computationally as hard as general linear programming. We also show that approximate algorithms with controlled error cannot be conceptually sim

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A New Classification Technique Based on the Combination of Inner Evidenceeloped for handling uncertainty data. However, as a distance-based technique, it also suffers from the problem of high dimensionality as well as performs ineffectively with mixed distribution data where closed data points originated from different classes. In this paper, we propose a new classificat