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Recent Advances in Decision Making

  • Book
  • © 2009

Overview

Editors:
  1. Elisabeth Rakus-Andersson

    1. School of Engineering Department of Mathematics and Science, Blekinge Institute of Technology, Karlskrona, Sweden

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  2. Ronald R. Yager

    1. Machine Intelligence Institute, Iona College, New Rochelle, USA

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  3. Nikhil Ichalkaranje

    1. School of Electrical and Information Engineering, University of South Australia , Australia

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  4. Lakhmi C. Jain

    1. School of Electrical and Information Engineering, University of South Australia , Adelaide, Australia

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  • Contains the latest research on recent advances in intelligent
  • Decision support systems

Part of the book series: Studies in Computational Intelligence (SCI, volume 222)

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Table of contents (9 chapters)

  1. Front Matter

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  2. Advances in Decision Making

    • Lakhmi C. Jain, Chee Peng Lim
    Pages 1-6

  3. Amount of Information and Its Reliability in the Ranking of Atanassov’s Intuitionistic Fuzzy Alternatives

    • Eulalia Szmidt, Janusz Kacprzyk
    Pages 7-19

  4. Fuzzy Rule Base Model Identification by Bacterial Memetic Algorithms

    • János Botzheim, László Gál, László T. Kóczy
    Pages 21-43

  5. Discovering Associations with Uncertainty from Large Databases

    • Guoqing Chen, Peng Yan, Qiang Wei
    Pages 45-66

  6. Dempster-Shafer Structures, Monotonic Set Measures and Decision Making

    • Ronald R. Yager
    Pages 67-88

  7. The Development of Interpretable Decision-Making Models: A Study in Information Granularity and Semantically Grounded Logic Operators

    • Witold Pedrycz
    Pages 89-101

  8. A General Methodology for Managerial Decision Making Using Intelligent Techniques

    • Vilém Novák, Irina Perfilieva, Nadezhda G. Jarushkina
    Pages 103-120

  9. Supporting Decision Making via Verbalization of Data Analysis Results Using Linguistic Data Summaries

    • Janusz Kacprzyk, SÅ‚awomir Zadrożny
    Pages 121-143

  10. Computational Intelligence in Medical Decisions Making

    • Elizabeth Rakus-Andersson, Lakhmi C. Jain
    Pages 145-159

  11. Back Matter

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Keywords

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.

Editors and Affiliations

  • School of Engineering Department of Mathematics and Science, Blekinge Institute of Technology, Karlskrona, Sweden

    Elisabeth Rakus-Andersson

  • Machine Intelligence Institute, Iona College, New Rochelle, USA

    Ronald R. Yager

  • School of Electrical and Information Engineering, University of South Australia , Australia

    Nikhil Ichalkaranje

  • School of Electrical and Information Engineering, University of South Australia , Adelaide, Australia

    Lakhmi C. Jain

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