Integrated Uncertainty in Knowledge Modelling and Decision Making -

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Résumé :
This book constitutes the refereed proceedings of the 98th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2021, held in Ishikawa, Japan, in March 2022. The 30 full papers presented were carefully reviewed and selected from 46 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision making, optimization and statistical methods, pattern classification and data analysis, machine learning, and economic applications.

Sommaire:
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.