The series Studies in Computational Intelligence (SCI) publishes new developments and advances in the various areas of computational intelligence – quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in com putational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and world-wide distribution – this permits a rapid and broad dissemina tion of research results. springer.com Intelligent paradigms are increasing 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.