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Granular Computing and Decision-Making

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Cover of 'Granular Computing and Decision-Making'

Table of Contents

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    Book Overview
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    Chapter 1 Granularity Helps Explain Seemingly Irrational Features of Human Decision Making
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    Chapter 2 A Comprehensive Granular Model for Decision Making with Complex
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    Chapter 3 Granularity in Economic Decision Making: An Interdisciplinary Review
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    Chapter 4 Decision Makers’ Opinions Changing Attitude-Driven Consensus Model under Linguistic Environment and Its Application in Dynamic MAGDM Problems
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    Chapter 5 Using Computing with Words for Managing Non-cooperative Behaviors in Large Scale Group Decision Making
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    Chapter 6 A Type-2 Fuzzy Logic Approach for Multi-Criteria Group Decision Making
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    Chapter 7 Multi-criteria Influence Diagrams – A Tool for the Sequential Group Risk Assessment
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    Chapter 8 Consensus Modeling under Fuzziness – A Dynamic Approach with Random Iterative Steps
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    Chapter 9 Decision Making-Interactive and Interactive Approaches
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    Chapter 10 Collaborative decision making by ensemble rule based classification systems
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    Chapter 11 A GDM Method Based on Granular Computing for Academic Library Management
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    Chapter 12 Spatial-Taxon Information Granules as Used in Iterative Fuzzy-Decision-Making for Image Segmentation
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    Chapter 13 Group Decision Making in Fuzzy Environment – An Iterative Procedure Based on Group Dynamics
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    Chapter 14 Fuzzy Optimization in Decision Making of Air Quality Management
Attention for Chapter 5: Using Computing with Words for Managing Non-cooperative Behaviors in Large Scale Group Decision Making
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Citations

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Summary Dimensions citations
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Chapter title
Using Computing with Words for Managing Non-cooperative Behaviors in Large Scale Group Decision Making
Chapter number 5
Book title
Granular Computing and Decision-Making
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-16829-6_5
Book ISBNs
978-3-31-916828-9, 978-3-31-916829-6
Authors

Quesada, Francisco José, Palomares, Iván, Martínez, Luis, Francisco José Quesada, Iván Palomares, Luis Martínez

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Professor 1 17%
Unknown 3 50%
Readers by discipline Count As %
Computer Science 1 17%
Engineering 1 17%
Unknown 4 67%

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