This book focuses on the definition and implementation of data-driven
computational tools supporting decision-making along heterogeneous
intelligence scenarios. Intelligence analysis includes methodologies,
activities, and tools aimed at obtaining complex information from a set
of isolated data gathered from different sensors. The tools aim at
increasing the level of situation awareness of decision-makers through
the construction of abstract structures supporting human operators in
reasoning and making decisions. This book appeals to students,
professionals, and academic researchers in computational intelligence
and approximate reasoning applications. It is a comprehensive textbook
on the subject, supported with case studies and practical examples in
Python. The readers will learn how to define decision support systems
for the intelligence analysis through the application of situation
awareness and granular computing for information processing.