Integrated Uncertainty in Knowledge Modelling and Decision Making

Uncertainty Management and Decision Making Measuring Quality of Belief Function Approximations.- The Lattice Structure of Coverings in an Incomplete Information Table with Value Similarity.- Group Formation Models Based on Inner Evaluations of Members.- Preference-based Assessment of Organizational Risk in Complex Environments.- A Data-driven Weighting Method Based on DEA Model for Evaluating Innovation Capability in Banking.- Decision Analysis with the Set of Normalized Triangular Fuzzy Weight Vectors in Fuzzy AHP.- Optimization and Statistical Methods Coyote Optimization Algorithm with Linear Convergence for Global Numerical Optimization.- Accounting for Gaussian Process Imprecision in Bayesian Optimization.- Additional Out-group Search for JADE.- Confidence Intervals for Mean of Delta Two-parameter Exponential Distribution.- An Analysis to Treat the Degeneracy of a Basic Feasible Solution in Interval Linear Programming.- Job-satisfaction Enhancement in Nurse Scheduling: A Case of Hospital Emergency Department in Thailand.- Analysis of Medical Data Using Interval Estimators for Common Mean of Gaussian Distributions with Unknown Coefficients of Variation.- Pattern Classification and Data Analysis On Some Fuzzy Clustering Algorithms for Time-Series Data.- On an Multi-directional Searching Algorithm for Two Fuzzy Clustering Methods for Categorical Multivariate Data.- On Some Fuzzy Clustering Algorithms with Cluster-wise Covariance.- Hybrid Rule-Based Classification by Integrating Expert Knowledge and Data.- A Comparative Study on Utilization of Semantic Information in Fuzzy Co-clustering.- On the Effects of Data Protection on Multi-database Data-driven Models.- Machine Learning Toward Latent Cognizance on Open-set Recognition.- Noise Fuzzy Clustering-based Robust Non-negative Matrix Factorization with I-divergence Criterion.- Topic Modeling of Political Dynamics with Shifted Cosine Similarity.- A Genetic Algorithm Based Artificial Neural Network for Production Rescheduling Problem.- Transductive Learning Based on Low-Rank Representation with Convex Constraints.- Economic Applications Hedging Agriculture Commodities Futures with Histogram Data Based on Conditional Copula-GJR-GARCH.- Predicting Energy Price Volatility using Hybrid Artificial Neural Networks with GARCH-type Models.- Estimating Wind Speed by using Confidence Intervals for the Median in a Three-Parameter Lognormal Model.- Trust Uncertainty Modeling in Agri-food Logistic Decision Making.- Investigating the Predictive Power of Google Trend and Real Price Indexes in Forecasting the Inflation Volatility.- Price Volatility Dependence Structure Change among Agricultural Commodity Futures due to Extreme Event: an Analysis with the Vine Copula.