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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
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1 Wikipedia page

Citations

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Title
Granular Computing and Decision-Making
Published by
Springer International Publishing, April 2015
DOI 10.1007/978-3-319-16829-6
ISBNs
978-3-31-916828-9, 978-3-31-916829-6
Editors

Pedrycz, Witold, Chen, Shyi-Ming

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 6%
Canada 1 6%
Unknown 16 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 28%
Student > Doctoral Student 3 17%
Researcher 3 17%
Student > Ph. D. Student 2 11%
Professor 1 6%
Other 3 17%
Unknown 1 6%
Readers by discipline Count As %
Computer Science 5 28%
Business, Management and Accounting 3 17%
Engineering 3 17%
Social Sciences 1 6%
Decision Sciences 1 6%
Other 2 11%
Unknown 3 17%