Recent Advances in Decision Making

Document type: Collection/Anthology
Peer reviewed: Yes
Title: Recent Advances in Decision Making
Series: Studies in Computational Intelligence
Year: 2009
Volume: 222
Editor: Elisabeth Rakus-Andersson, Ronald R. Yager, Nikhil Ichalkaranje, Lakhmi C. Jain
ISBN: 978-3-642-02186-2
Publisher: Springer-verlag
City: Berlin Heidelberg
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. Mathematics and Science (Sektionen för teknik – avd. för matematik och naturvetenskap)
School of Engineering S- 371 79 Karlskrona
+46 455 38 50 00
http://www.tek.bth.se/
Authors e-mail: Elisabeth.Andersson@bth.se
Language: English
Abstract: 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.
Subject: Computer Science\Artificial Intelligence
Mathematics\General
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