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.
General
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