Machine Learning and Probabilistic Graphical Models for Decision Support Systems

Introduce Decision Support Systems (DSS) with artificial intelligence for the Industry 4.0 Environments

Provide the essentials of recent applications of Machine Learning and Probabilistic Graphical Models for DSS

Consider the process uncertainty when developing the DSS helps these studies closer to reality

Provide general concepts for extracting knowledge from big data effectively and interpret decisions for DSS

Introduce real-world case studies in various fields like Engineering, Management, Healthcare with guidance and recommendations for the practical applications of these studies