Integrated Uncertainty in Knowledge Modelling and Decision Making: 8th International Symposium, IUKM 2020, Phuket, Thailand, November 1113, 2020, Pro [Paperback]

This book constitutes the refereed proceedings of the 8th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2020, held in Phuket, Thailand, in November 2020.*

The 35 full papers presented were carefully reviewed and selected from 55 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision support; machine learning; machine learning applications; econometric applications; and statistical methods.

* The conference was held virtually due to the COVID-19 pandemic.

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-stagls'