Recent Advances in Decision Making / Edition 1 by Elisabeth Rakus-Andersson | 9783642021862 | Hardcover | Barnes & Noble
Recent Advances in Decision Making / Edition 1

Recent Advances in Decision Making / Edition 1

by Elisabeth Rakus-Andersson
     
 

ISBN-10: 3642021867

ISBN-13: 9783642021862

Pub. Date: 07/28/2009

Publisher: Springer Berlin Heidelberg

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

Overview

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.

Product Details

ISBN-13:
9783642021862
Publisher:
Springer Berlin Heidelberg
Publication date:
07/28/2009
Series:
Studies in Computational Intelligence Series, #222
Edition description:
2009
Pages:
179
Product dimensions:
6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Advances in Decision Making.- Amount of Information and Its Reliability in the Ranking of Atanassov’s 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.- The Development of Interpretable Decision-Making Models: A Study in Information Granularity and Semantically Grounded Logic Operators.- A General Methodology for Managerial Decision Making Using Intelligent Techniques.- Supporting Decision Making via Verbalization of Data Analysis Results Using Linguistic Data Summaries.- Computational Intelligence in Medical Decisions Making.

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