E-raamat: Integrated Uncertainty in Knowledge Modelling and Decision Making: 8th International Symposium, IUKM 2020, Phuket, Thailand, November 11-13, 2020, Proceedings

Uncertainty Management and Decision Support.- Outcome Range Problem in
Interval Linear Programming: An Exact Approach.- Weak and Strong Consistency
of an Interval Comparison Matrix.- The Facility Location Problem with a Joint
Probabilistic Constraint.- The Advantage of Interval Weight Estimation over
the Conventional Weight Estimation in AHP in Ranking Alternatives.- Decision
Support Framework for Composing of Different Questionnaires based on Business
Model with Optimization.- Algorithms for Generating Sets of Gambles for
Decision Making with Lower Previsions.- PM 2.5 Problem in Chiang Mai,
Thailand: The Application of Maximizing Expected Utility with Imbalanced Loss
Functions.- Identification of the Direct and Indirect Drivers of
Deforestation and Forest Degradation in Cambodia.- Unit Commitment Problem in
the Deregulated Market.- Risk Impact Assessment and Prioritization in
Multimodal Freight Transportation Systems.- Machine Learning.- Dynamic
Features Spaces and Machine Learning: Open Problems and Synthetic Data Sets.-
An Evidential Reasoning Framework for User Profiling Using Short Texts.-
Basic Consideration of Co-clustering Based on Rough Set Theory.- Rank
Estimators for Robust Regression: Approximate Algorithms, Exact Algorithms
and Two-stage Methods.- A New Classification Technique Based on The
Combination of Inner Evidence.- SOM-Based Visualization of Potential
Technical Solutions with Fuzzy Bag-of-Words Utilizing Multi-view
Information.- Machine Learning Applications.-  Relative Humidity Estimation
Based on Two Nested Kalman Filters with Bicubic Interpolation for Commercial
Cultivation of Tropical Orchids.- Customized Dynamic Pricing for Air Cargo
Network via Reinforcement Learning.- Analysis of the Determinants of CO2
Emissions: A Bayesian LASSO Approach.- Comparison Between Original Texts and
Their Revisions to Improve Foreign Language Writing.- Motion Time Study with
Convolutional Neural Network.- Unsupervised Change Detectionin Multi-temporal
Satellite Images Based on Structural Patch Decomposition and k-means
Clustering for Landslide Monitoring.- Nowcasting and Forecasting for
Thailand's Macroeconomic Cycles Using Machine Learning Algorithms.-
Econometric Applications.- Dependence of Financial Institutions in China: An
Analysis Based on FDG Copula Model.- Evaluation and Forecasting of Functional
Port Technical Efficiency in ASEAN-4.- A Spatial Analysis of International
Tourism Demand Model: the Exploration of ASEAN Countries.- Measurements of
the Conditional Dependence Structure Among Carbon, Fossil Energy and
Renewable Energy Prices: Vine Copula Based GJR-GARCH Model.- Prediction of
Closing Stock Prices using the Artificial Neural Network in the Market for
Alternative Investment (MAI) of the Stock Exchange of Thailand (SET).-
Estimating Fish Dispersal using Interval Estimations for the Single Variance
of a Delta-Lognormal Distribution.- Statistical Methods.- Bayesian Confidence
Intervals for Means of Normal Distributions with Unknown Coefficients of
Variation.- Confidence Intervals for the  Difference between the Coefficients
of Variation of Inverse Gaussian Distributions.- Methods for Testing the
Difference between Two Signal-To-Noise Ratios of Log-Normal Distributions.-
Generalized Confidence Interval of the Ratio of Coefficients of Variation of
Birnbaum-Saunders Distribution.- Confidence Interval for Coefficient of
Variation of Inverse Gamma Distributions.- The Bayesian Confidence Interval
for the Mean of the Zero-inflated Poisson Distribution.