Granular Computing and Decision-Making

Interactive and Iterative Approaches

  • Witold Pedrycz
  • Shyi-Ming Chen

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

Table of contents

  1. Front Matter
    Pages 1-8
  2. Ying Xie, Tom Johnsten, Vijay V. Raghavan, Ryan G. Benton, William Bush
    Pages 33-46
  3. Francisco José Quesada, Iván Palomares, Luis Martínez
    Pages 97-121
  4. Aleksandar Janjić, Miomir Stanković, Lazar Velimirović
    Pages 165-193
  5. Pasi Luukka, Mikael Collan, Mario Fedrizzi
    Pages 195-218
  6. Weixia Li, Chengyi Zhang
    Pages 219-244
  7. Francisco Javier Cabrerizo, Raquel Ureña, Juan Antonio Morente-Molinera, Enrique Herrera-Viedma
    Pages 265-284
  8. Wang-Kun Chen, Yu-Ting Chen
    Pages 341-363
  9. Back Matter
    Pages 365-367

About this book

Introduction

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.

Keywords

Big Data Computational Intelligence Decision-Making Fuzzy Decision-making Granular Computing

Editors and affiliations

  • Witold Pedrycz
    • 1
  • Shyi-Ming Chen
    • 2
  1. 1.Department of Electrical and Computer EngineeringUniversity of AlbertaEdmonton, AlbertaCanada
  2. 2.Department of Computer Science and Information EngineeringNational Taiwan University of Science and TechnologyTaipeiTaiwan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-16829-6
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-16828-9
  • Online ISBN 978-3-319-16829-6
  • Series Print ISSN 2197-6503
  • Series Online ISSN 2197-6511
  • About this book
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