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Uncertainty Management with Fuzzy and Rough Sets

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Cover of 'Uncertainty Management with Fuzzy and Rough Sets'

Table of Contents

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    Book Overview
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    Chapter 1 A Proposal of Hybrid Fuzzy Clustering Algorithm with Application in Condition Monitoring of Industrial Processes
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    Chapter 2 Solving a Fuzzy Tourist Trip Design Problem with Clustered Points of Interest
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    Chapter 3 Characterization of the Optimal Bucket Order Problem Instances and Algorithms by Using Fuzzy Logic
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    Chapter 4 Uncertain Production Planning Using Fuzzy Simulation
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    Chapter 5 Fully Fuzzy Linear Programming Model for the Berth Allocation Problem with Two Quays
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    Chapter 6 Ideal Reference Method with Linguistic Labels: A Comparison with LTOPSIS
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    Chapter 7 Comparative Analysis of Symbolic Reasoning Models for Fuzzy Cognitive Maps
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    Chapter 8 Fuzzy Cognitive Maps for Evaluating Software Usability
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    Chapter 9 Fuzzy Simulation of Human Behaviour in the Health-e-Living System
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    Chapter 10 Matroids and Submodular Functions for Covering-Based Rough Sets
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    Chapter 11 Similar Prototype Methods for Class Imbalanced Data Classification
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    Chapter 12 Early Detection of Possible Undergraduate Drop Out Using a New Method Based on Probabilistic Rough Set Theory
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    Chapter 13 Multiobjective Overlapping Community Detection Algorithms Using Granular Computing
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    Chapter 14 In-Database Rule Learning Under Uncertainty: A Variable Precision Rough Set Approach
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    Chapter 15 Facial Similarity Analysis: A Three-Way Decision Perspective
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    Chapter 16 Fuzzy Activation of Rough Cognitive Ensembles Using OWA Operators
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    Chapter 17 Prediction by k-NN and MLP a New Approach Based on Fuzzy Similarity Quality Measure. A Case Study
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    Chapter 18 Scheduling in Queueing Systems and Networks Using ANFIS
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    Chapter 19 Genetic Fuzzy System for Automating Maritime Risk Assessment
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    Chapter 20 Fuzzy Petri Nets and Interval Analysis Working Together
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Title
Uncertainty Management with Fuzzy and Rough Sets
Published by
Springer International Publishing, May 2019
DOI 10.1007/978-3-030-10463-4
ISBNs
978-3-03-010462-7, 978-3-03-010463-4
Editors

Bello, Rafael, Falcon, Rafael, Verdegay, José Luis

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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Student > Master 2 20%
Student > Doctoral Student 1 10%
Researcher 1 10%
Unknown 4 40%
Readers by discipline Count As %
Engineering 4 40%
Computer Science 2 20%
Unknown 4 40%