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Soft Computing Based Optimization and Decision Models

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Table of Contents

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    Book Overview
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    Chapter 1 A Review of Soft Computing Techniques in Maritime Logistics and Its Related Fields
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    Chapter 2 Intelligent Data Analysis, Soft Computing and Imperfect Data
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    Chapter 3 Soft Computing Methods in Transport and Logistics
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    Chapter 4 Applications of Soft Computing in Intelligent Transportation Systems
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    Chapter 5 Fuzzy Cognitive Maps Based Models for Pattern Classification: Advances and Challenges
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    Chapter 6 A Proposal of On-Line Detection of New Faults and Automatic Learning in Fault Diagnosis
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    Chapter 7 Fuzzy Portfolio Selection Models for Dealing with Investor’s Preferences
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    Chapter 8 On Fuzzy Convex Optimization to Portfolio Selection Problem
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    Chapter 9 Digital Coaching for Real Options Support
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    Chapter 10 An Analysis of Decision Criteria for the Selection of Military Training Aircrafts
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    Chapter 11 Participatory Search in Evolutionary Fuzzy Modeling
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    Chapter 12 But, What Is It Actually a Fuzzy Set?
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    Chapter 13 Gradual Numbers and Fuzzy Solutions to Fuzzy Optimization Problems
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    Chapter 14 Using Fuzzy Measures to Construct Multi-criteria Decision Functions
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    Chapter 15 A Modal Account of Preference in a Fuzzy Setting
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    Chapter 16 On Possibilistic Dependencies: A Short Survey of Recent Developments
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    Chapter 17 Penalty Function in Optimization Problems: A Review of Recent Developments
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    Chapter 18 The Single Parameter Family of Gini Bonferroni Welfare Functions and the Binomial Decomposition, Transfer Sensitivity and Positional Transfer Sensitivity
Attention for Chapter 11: Participatory Search in Evolutionary Fuzzy Modeling
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Chapter title
Participatory Search in Evolutionary Fuzzy Modeling
Chapter number 11
Book title
Soft Computing Based Optimization and Decision Models
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-64286-4_11
Book ISBNs
978-3-31-964285-7, 978-3-31-964286-4
Authors

Yi Ling Liu, Fernando Gomide