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The 2-tuple Linguistic Model

Computing with Words in Decision Making

  • Luis Martínez
  • Rosa M. Rodriguez
  • Francisco Herrera

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Luis Martínez, Rosa M. Rodriguez, Francisco Herrera
    Pages 1-21
  3. Luis Martínez, Rosa M. Rodriguez, Francisco Herrera
    Pages 23-42
  4. Luis Martínez, Rosa M. Rodriguez, Francisco Herrera
    Pages 43-50
  5. Luis Martínez, Rosa M. Rodriguez, Francisco Herrera
    Pages 51-82
  6. Luis Martínez, Rosa M. Rodriguez, Francisco Herrera
    Pages 83-112
  7. Luis Martínez, Rosa M. Rodriguez, Francisco Herrera
    Pages 113-129
  8. Luis Martínez, Rosa M. Rodriguez, Francisco Herrera
    Pages 131-143
  9. Luis Martínez, Rosa M. Rodriguez, Francisco Herrera
    Pages 145-168

About this book

Introduction

This book examines one of the more common and wide-spread methodologies to deal with uncertainty in real-world decision making problems, the computing with words paradigm, and the fuzzy linguistic approach. The 2-tuple linguistic model is the most popular methodology for computing with words (CWW), because it improves the accuracy of the linguistic computations and keeps the interpretability of the results.

The authors provide a thorough review of the specialized literature in CWW and highlight the rapid growth and applicability of the 2-tuple linguistic model. They explore the foundations and methodologies for CWW in complex frameworks and extensions. The book introduces the software FLINTSTONES that provides tools for solving linguistic decision problems based on the 2-tuple linguistic model.

Professionals and researchers working in the field of classification or fuzzy sets and systems will find The 2-tuple Linguistic Model: Computing with Words in Decision Making a valuable resource. Undergraduate and postdoctoral students studying computer science and statistics will also find this book a useful study guide.

Keywords

Decision Making Complex decision frameworks Fuzzy logic Fuzzy linguistic approach Computing with words Linguistic decision making Linguistic computational models 2-tuple linguistic model Decision support

Authors and affiliations

  • Luis Martínez
    • 1
  • Rosa M. Rodriguez
    • 2
  • Francisco Herrera
    • 3
  1. 1.Dept. Computer ScienceUniversity of JaenJaenSpain
  2. 2.Department of Computer Science and AIUniversity of GranadaGranadaSpain
  3. 3.Department of Computer Science and AIUniversity of GranadaGranadaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-24714-4
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-24712-0
  • Online ISBN 978-3-319-24714-4
  • Buy this book on publisher's site