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.