Titlebook: Recent Advances in Decision Making; Elisabeth Rakus-Andersson,Ronald R. Yager,Lakhmi C Book 2009 Springer-Verlag Berlin Heidelberg 2009 Al

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1860-949X 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..978-3-642-26932-5978-3-642-02187-9Series ISSN 1860-949X Series E-ISSN 1860-9503

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1860-949X 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 bas

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Book 2009ecent 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 uncertaint

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Fuzzy Rule Base Model Identification by Bacterial Memetic Algorithms,ations and methods (e.g. the Levenberg-Marquardt method) to complete their task more efficiently. The goal is to create more accurate fuzzy rule bases from input-output data sets as quickly as possible. In this work, we summarize the bacterial type evolutionary algorithms used for fuzzy rule base identification.

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Discovering Associations with Uncertainty from Large Databases,s an overview of our efforts on association rules with fuzzy taxonomies (FAR), on implication-based fuzzy quantitative association rules (ARsi), and on functional dependencies with partial degrees of satisfaction (FD.).

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Advances in Decision Making,techniques, i.e., evolutionary computing, fuzzy computing, and neural computing, are introduced. Then, a review of recent applications of CI-based systems for decision making in various domains is presented. The contribution of each chapter included in this book is also described. A summary of concl