Intelligent paradigms are increasingly finding their ways in the design and development of decision support systems. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems in decision making – A new method of ranking intuitionistic fuzzy alternatives – Fuzzy rule base model identification by bacterial memetic algorithms – Discovering associations with uncertainty from large databases – Dempster-Shafer structures, monotonic set measures and decision making – Interpretable decision-making models – A general methodology for managerial decision making – Supporting decision making via verbalization of data analysis results using linguistic data summaries – Computational intelligence in medical decisions making.This book is directed to the researchers, graduate students, professors, decision makers and to those who are interested to investigate intelligent paradigms in decision making.