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Soft Computing Applications for Group Decision-making and Consensus Modeling

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Cover of 'Soft Computing Applications for Group Decision-making and Consensus Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 Optimal Group Decision Making Criterion and How It Can Help to Decrease Poverty, Inequality, and Discrimination
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    Chapter 2 An Overview and Re-interpretation of Paradoxes of Responsiveness
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    Chapter 3 Veto in Yes-no and Yes-no-Abstain Voting Systems
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    Chapter 4 Power Indices for Finance
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    Chapter 5 The Binomial Decomposition of the Single Parameter Family of GB Welfare Functions
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    Chapter 6 The Logic of Information and Processes in System-of-Systems Applications
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    Chapter 7 Decision-making Process Using Hyperstructures and Fuzzy Structures in Social Sciences
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    Chapter 8 Social Preferences Through Riesz Spaces: A First Approach
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    Chapter 9 Coherent Conditional Plausibility: A Tool for Handling Fuzziness and Uncertainty Under Partial Information
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    Chapter 10 Intuitionistic Fuzzy Interpretations of Some Formulas for Estimation of Preference Degree
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    Chapter 11 Fuzzified Likert Scales in Group Multiple-Criteria Evaluation
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    Chapter 12 Maximal Entropy and Minimal Variability OWA Operator Weights: A Short Survey of Recent Developments
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    Chapter 13 A Closer Look at the Relation Between Orness and Entropy of OWA Function
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    Chapter 14 Rank Reversal in the AHP with Consistent Judgements: A Numerical Study in Single and Group Decision Making
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    Chapter 15 Estimating One-Off Operational Risk Events with the Lossless Fuzzy Weighted Average Method
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    Chapter 16 Fuzzy Signature Based Methods for Modelling the Structural Condition of Residential Buildings
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    Chapter 17 Retrieval from Uncertain Data Bases
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    Chapter 18 An Ordinal Multi-criteria Decision-Making Procedure in the Context of Uniform Qualitative Scales
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    Chapter 19 FRIM—Fuzzy Reference Ideal Method in Multicriteria Decision Making
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    Chapter 20 A New Approach for Solving CCR Data Envelopment Analysis Model Under Uncertainty
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    Chapter 21 A New Fuzzy CCR Data Envelopment Analysis Model and Its Application to Manufacturing Enterprises
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    Chapter 22 A Feedback Mechanism Based on Granular Computing to Improve Consensus in GDM
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    Chapter 23 A Method for the Team Selection Problem Between Two Decision-Makers Using the Ant Colony Optimization
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    Chapter 24 Probabilistic Linguistic Distance Measures and Their Applications in Multi-criteria Group Decision Making
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    Chapter 25 Fuzzy Numbers and Consensus
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    Chapter 26 Consensus in Multiperson Decision Making Using Fuzzy Coalitions
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    Chapter 27 Reaching Consensus in a Group of Agents: Supporting a Moderator Run Process via Linguistic Summaries
Overall attention for this book and its chapters
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Title
Soft Computing Applications for Group Decision-making and Consensus Modeling
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-319-60207-3
ISBNs
978-3-31-960206-6, 978-3-31-960207-3
Editors

Mikael Collan, Janusz Kacprzyk

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 41%
Student > Master 3 18%
Professor > Associate Professor 2 12%
Lecturer 1 6%
Researcher 1 6%
Other 2 12%
Unknown 1 6%
Readers by discipline Count As %
Engineering 5 29%
Computer Science 5 29%
Mathematics 3 18%
Decision Sciences 2 12%
Business, Management and Accounting 1 6%
Other 0 0%
Unknown 1 6%