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Rough Sets

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Cover of 'Rough Sets'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Rough Forgetting
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    Chapter 2 Functional Extensions of Knowledge Representation in General Rough Sets
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    Chapter 3 Similarity Based Granules
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    Chapter 4 Approximate Reaction Systems Based on Rough Set Theory
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    Chapter 5 Weighted Generalized Fuzzy Petri Nets and Rough Sets for Knowledge Representation and Reasoning
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    Chapter 6 Rough Sets Meet Statistics - A New View on Rough Set Reasoning About Numerical Data
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    Chapter 7 An Adjusted Apriori Algorithm to Itemsets Defined by Tables and an Improved Rule Generator with Three-Way Decisions
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    Chapter 8 A Graph-Based Keyphrase Extraction Model with Three-Way Decision
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    Chapter 9 Modeling Use-Oriented Attribute Importance with the Three-Way Decision Theory
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    Chapter 10 Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review
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    Chapter 11 Three-Way Decisions Community Detection Model Based on Weighted Graph Representation
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    Chapter 12 Quick Maximum Distribution Reduction in Inconsistent Decision Tables
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    Chapter 13 Attribute Reduction from Closure Operators and Matroids in Rough Set Theory
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    Chapter 14 The Reduct of a Fuzzy $$\beta $$ -Covering
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    Chapter 15 The Problem of Finding the Simplest Classifier Ensemble is NP-Hard – A Rough-Set-Inspired Formulation Based on Decision Bireducts
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    Chapter 16 On Positive-Correlation-Promoting Reducts
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    Chapter 17 Feature and Label Association Based on Granulation Entropy for Deep Neural Networks
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    Chapter 18 Multi-granularity Complex Network Representation Learning
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    Chapter 19 Towards Student Centric Rough Concept Inventories
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    Chapter 20 HGAR: Hybrid Granular Algorithm for Rating Recommendation
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    Chapter 21 Concept Analysis Using Quantitative Structured Three-Way Rough Set Approximations
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    Chapter 22 On the Hierarchy of Equivalence Classes Provided by Local Congruences
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    Chapter 23 Object Oriented Protoconcepts and Logics for Double and Pure Double Boolean Algebras
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    Chapter 24 Fuzzy FCA Attribute Reduction Properties in Rough Set Theory
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    Chapter 25 Algebraic Structure of Adjoint Triples Generating a Weak Negation on the Unit Interval
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    Chapter 26 Representative Set of Objects in Rough Sets Based on Galois Connections
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    Chapter 27 Discovering Fails in Software Projects Planning Based on Linguistic Summaries
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    Chapter 28 Approximate Decision Tree Induction over Approximately Engineered Data Features
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    Chapter 29 Linguistic Summaries Generation with Hybridization Method Based on Rough and Fuzzy Sets
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    Chapter 30 Rough Net Approach for Community Detection Analysis in Complex Networks
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    Chapter 31 Overlapping Community Detection Using Multi-objective Approach and Rough Clustering
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    Chapter 32 Detecting Overlapping Communities Using Distributed Neighbourhood Threshold in Social Networks
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    Chapter 33 On the Convergence of Input-Output Fuzzy Cognitive Maps
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    Chapter 34 On the Behavior of Fuzzy Grey Cognitive Maps
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    Chapter 35 A Privacy-Preserving, Distributed and Cooperative FCM-Based Learning Approach for Cancer Research
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    Chapter 36 fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets
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    Chapter 37 Comparative Approaches to Granularity in General Rough Sets
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Title
Rough Sets
Published by
Springer International Publishing, September 2020
DOI 10.1007/978-3-030-52705-1
ISBNs
978-3-03-052704-4, 978-3-03-052705-1
Editors

Bello, Rafael, Miao, Duoqian, Falcon, Rafael, Nakata, Michinori, Rosete, Alejandro, Ciucci, Davide

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