Overview
- Contains the latest research on recent advances in intelligent
- Decision support systems
Part of the book series: Studies in Computational Intelligence (SCI, volume 222)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
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.
Similar content being viewed by others
Keywords
Table of contents (9 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Recent Advances in Decision Making
Editors: Elisabeth Rakus-Andersson, Ronald R. Yager, Nikhil Ichalkaranje, Lakhmi C. Jain
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-02187-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-642-02186-2Published: 04 August 2009
Softcover ISBN: 978-3-642-26932-5Published: 14 March 2012
eBook ISBN: 978-3-642-02187-9Published: 05 August 2009
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XI, 179
Topics: Operations Research/Decision Theory, Operations Research, Management Science, Mathematical and Computational Engineering, Engineering Economics, Organization, Logistics, Marketing, Artificial Intelligence