| Recent Advances in Decision Making 2009 Edition Contributor(s): Rakus-Andersson, Elisabeth (Editor), Yager, Ronald R. (Editor), Ichalkaranje, Nikhil (Editor) |
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ISBN: 3642021867 ISBN-13: 9783642021862 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: August 2009 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Mathematics | Applied - Technology & Engineering | Project Management - Computers | Intelligence (ai) & Semantics |
| Dewey: 003.5 |
| Series: Studies in Computational Intelligence |
| Physical Information: 0.5" H x 6.14" W x 9.21" (0.99 lbs) 179 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |