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Granular Computing and Decision-Making

Interactive and Iterative Approaches

  • Book
  • © 2015

Overview

Editors:
  1. Witold Pedrycz

    1. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

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    You can also search for this editor in PubMed   Google Scholar

  2. Shyi-Ming Chen

    1. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Includes introductory chapters both in terms of big data, the key challenges of the area, development opportunities, and a well-focused introduction to Computational Intelligence
  • Self-contained and easily accessible volume for a broad audience
  • Includes fundamentals, methodological issues as well as algorithms and applications

Part of the book series: Studies in Big Data (SBD, volume 10)

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Table of contents (14 chapters)

  1. Front Matter

    Pages 1-8
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  2. Granularity Helps Explain Seemingly Irrational Features of Human Decision Making

    • Joe Lorkowski, Vladik Kreinovich
    Pages 1-31

  3. A Comprehensive Granular Model for Decision Making with Complex

    • Ying Xie, Tom Johnsten, Vijay V. Raghavan, Ryan G. Benton, William Bush
    Pages 33-46

  4. Granularity in Economic Decision Making: An Interdisciplinary Review

    • Shu-Heng Chen, Ye-Rong Du
    Pages 47-71

  5. Decision Makers’ Opinions Changing Attitude-Driven Consensus Model under Linguistic Environment and Its Application in Dynamic MAGDM Problems

    • Bapi Dutta, Debashree Guha
    Pages 73-95

  6. Using Computing with Words for Managing Non-cooperative Behaviors in Large Scale Group Decision Making

    • Francisco JosĂ© Quesada, Iván Palomares, Luis MartĂ­nez
    Pages 97-121

  7. A Type-2 Fuzzy Logic Approach for Multi-Criteria Group Decision Making

    • Syibrah Naim, Hani Hagras
    Pages 123-164

  8. Multi-criteria Influence Diagrams – A Tool for the Sequential Group Risk Assessment

    • Aleksandar Janjić, Miomir Stanković, Lazar Velimirović
    Pages 165-193

  9. Consensus Modeling under Fuzziness – A Dynamic Approach with Random Iterative Steps

    • Pasi Luukka, Mikael Collan, Mario Fedrizzi
    Pages 195-218

  10. Decision Making-Interactive and Interactive Approaches

    • Weixia Li, Chengyi Zhang
    Pages 219-244

  11. Collaborative Decision Making by Ensemble Rule Based Classification Systems

    • Han Liu, Alexander Gegov
    Pages 245-264

  12. A GDM Method Based on Granular Computing for Academic Library Management

    • Francisco Javier Cabrerizo, Raquel Ureña, Juan Antonio Morente-Molinera, Enrique Herrera-Viedma
    Pages 265-284

  13. Spatial-Taxon Information Granules as Used in Iterative Fuzzy-Decision-Making for Image Segmentation

    • Lauren Barghout
    Pages 285-318

  14. Group Decision Making in Fuzzy Environment – An Iterative Procedure Based on Group Dynamics

    • Mahima Gupta
    Pages 319-339

  15. Fuzzy Optimization in Decision Making of Air Quality Management

    • Wang-Kun Chen, Yu-Ting Chen
    Pages 341-363

  16. Back Matter

    Pages 365-367
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Keywords

About this book

This volume is devoted to interactive and iterative processes of decision-making– I2 Fuzzy Decision Making, in brief. Decision-making is inherently interactive. Fuzzy sets help realize human-machine communication in an efficient way by facilitating a two-way interaction in a friendly and transparent manner. Human-centric interaction is of paramount relevance as a leading guiding design principle of decision support systems.

The volume provides the reader with an updated and in-depth material on the conceptually appealing and practically sound methodology and practice of I2 Fuzzy Decision Making. The book engages a wealth of methods of fuzzy sets and Granular Computing, brings new concepts, architectures and practice of fuzzy decision-making providing the reader with various application studies.

The book is aimed at a broad audience of researchers and practitioners in numerous disciplines in which decision-making processes play a pivotal role and serve as a vehicle to produce solutions to existing problems. Those involved in operations research, management, various branches of engineering, social sciences, logistics, and economics will benefit from the exposure to the subject matter. The book may serve as a useful and timely reference material for graduate students and senior undergraduate students in courses on decision-making, Computational Intelligence, operations research, pattern recognition, risk management, and knowledge-based systems.

Editors and Affiliations

  • Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Witold Pedrycz

  • Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

    Shyi-Ming Chen

Bibliographic Information

  • Book Title: Granular Computing and Decision-Making

  • Book Subtitle: Interactive and Iterative Approaches

  • Editors: Witold Pedrycz, Shyi-Ming Chen

  • Series Title: Studies in Big Data

  • DOI: https://doi.org/10.1007/978-3-319-16829-6

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-16828-9Published: 05 May 2015

  • Softcover ISBN: 978-3-319-36490-2Published: 09 October 2016

  • eBook ISBN: 978-3-319-16829-6Published: 21 April 2015

  • Series ISSN: 2197-6503

  • Series E-ISSN: 2197-6511

  • Edition Number: 1

  • Number of Pages: VIII, 368

  • Number of Illustrations: 88 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence

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