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Applying Fuzzy Logic for the Digital Economy and Society

Overview of attention for book
Cover of 'Applying Fuzzy Logic for the Digital Economy and Society'

Table of Contents

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    Book Overview
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    Chapter 1 Testing Hypotheses by Fuzzy Methods: A Comparison with the Classical Approach
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    Chapter 2 Interpolative Boolean Approach for Fuzzy Portfolio Selection
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    Chapter 3 A Fuzzy-Based Discounts Recommender System for Public Tax Payment
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    Chapter 4 Fuzzy Based Investment Portfolio Management
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    Chapter 5 Z-Numbers Based TOPSIS Similarity Methodology for Company Performance Assessment in Malaysia
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    Chapter 6 Modeling Human Perceptions in e-Commerce Applications: A Case Study on Business-to-Consumers Websites in the Textile and Fashion Sector
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    Chapter 7 Grey Number Based Methodology for Non-homogeneous Preference Elicitation in Fuzzy Risk Analysis Management
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    Chapter 8 Fuzzy Bayesian Nets and Influence Diagrams with Cognitive Numerical Judgment of Imprecise Probabilities
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    Chapter 9 Oilfield Abandonment Decision by Applying a Fuzzy Pay-Off Method for Real Options
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    Chapter 10 A Fuzzy-Based Recommender System: Case Börsenspiel for Swiss Universities
Attention for Chapter 8: Fuzzy Bayesian Nets and Influence Diagrams with Cognitive Numerical Judgment of Imprecise Probabilities
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Citations

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Chapter title
Fuzzy Bayesian Nets and Influence Diagrams with Cognitive Numerical Judgment of Imprecise Probabilities
Chapter number 8
Book title
Applying Fuzzy Logic for the Digital Economy and Society
Published by
Springer, Cham, March 2019
DOI 10.1007/978-3-030-03368-2_8
Book ISBNs
978-3-03-003367-5, 978-3-03-003368-2
Authors

Aleksandar Janjić, Jelena D. Velimirović, Lazar Z. Velimirović

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Doctoral Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Unknown 1 33%

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