Authors:
- Provides a detailed overview of the 2-tuple fuzzy linguistic representation and its extensions
- Introduces the software FLINTSTONES that provides tools for solving linguistic decision problems based on the 2-tuple linguistic model
- Includes a compendium of applications where the 2-tuple fuzzy linguistic model has been used and how it can inspire other future applications in very different fields
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Table of contents (8 chapters)
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Front Matter
About this book
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.
Authors and Affiliations
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Dept. Computer Science, University of Jaen, Jaen, Spain
Luis Martínez
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Department of Computer Science and AI, University of Granada, Granada, Spain
Rosa M. Rodriguez, Francisco Herrera
Bibliographic Information
Book Title: The 2-tuple Linguistic Model
Book Subtitle: Computing with Words in Decision Making
Authors: Luis Martínez, Rosa M. Rodriguez, Francisco Herrera
DOI: https://doi.org/10.1007/978-3-319-24714-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-24712-0Published: 18 December 2015
Softcover ISBN: 978-3-319-79665-9Published: 21 March 2019
eBook ISBN: 978-3-319-24714-4Published: 09 December 2015
Edition Number: 1
Number of Pages: XIII, 168
Number of Illustrations: 17 b/w illustrations, 18 illustrations in colour
Topics: Natural Language Processing (NLP), Logics and Meanings of Programs