Transactions on Rough Sets XXIII

✍ Scribed by James F. Peters, Andrzej Skowron, Rabi Nanda Bhaumik, Sheela Ramanna

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 513
• Series: Lecture Notes in Computer Science, 13610
• Category: Library

✦ Synopsis

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence.

Volume XXIII in the series is a continuation of a number of research streams that have grown out of the seminal work of Zdzislaw Pawlak during the first decade of the 21st century.

✦ Table of Contents

Preface
LNCS Transactions on Rough Sets
Contents
FRSA 2021 Conference Papers
Zdzisław Pawlak and Our Journey with Rough Sets
1 Introduction of Rough Sets to India
2 Propagation of Rough Sets in India
3 Facets of Work on Rough Sets by the Authors
4 Treasured Memories
References
Fuzzy -Cut in Rough Sets and Its Application
1 Introduction
2 Prelinear and Semilinear Frame
3 Properties of Gödel-Like Arrow
4 Probabilistic Rough Set Theory
5 Concluding Remarks
References
Named Entity Recognition on CORD-19 Bio-Medical Dataset with Tolerance Rough Sets*-12pt
1 Introduction
2 Preliminaries
3 Data Preparation
4 Annotation Results
5 Conclusion
References
Granularity and Rational Approximation: Rethinking Graded Rough Sets
1 Introduction
1.1 Background
1.2 Modal Connections
2 Semantics of Graded Rough Sets
2.1 Granular Generalization
2.2 Abstract Example
2.3 Example: Dynamic Classification
2.4 Example: Concrete Bins
2.5 Partitions and Graded Rough Sets
2.6 Substantial Parthood
2.7 Abstract Example-2
3 Framework for Rational Approximations
3.1 Abstract Example-3
3.2 Philosophy of Rational Intents
4 Specific Cases, Examples
4.1 Example
4.2 Representation of Concept Maturation
5 Graded Rough Sets and the Framework
6 Discussion
References
MADM Strategies Based on Arithmetic and Geometric Mean Operator Under Rough-Bipolar Neutrosophic Set Environment
1 Introduction
2 Some Relevant Results
3 Arithmetic and Geometric Mean Operator Under RBNS Environment
3.1 Rough-Bipolar Neutrosophic Arithmetic Mean Operator
3.2 Rough-Bipolar Neutrosophic Geometric Mean Operator
4 Score and Accuracy Function Under RBNS Environment
5 MADM Strategy Under the RBNS Environment
5.1 RBNAM Operator Based MADM Strategy
6 Validation of the Proposed MADM Model
7 Comparison of the Proposed MADM Strategies
8 Conclusions
References
Single-Valued Neutrosophic Rough Continuous Mapping via Single-Valued Neutrosophic Rough Topological Space
1 Introduction
2 Some Relevant Results
3 Single-Valued Neutrosophic Rough Continuous Function
4 Conclusions
References
Regular Paper
The RSDS - Bibliographic Database for Rough Sets and Related Fields
1 Introduction
2 System Functionalities
2.1 Home Page
2.2 Data Search
2.3 Sending Data
2.4 Statistics
2.5 Opinions
2.6 People
2.7 Software
2.8 Interactive Map of the World
2.9 Help
2.10 Contact
3 System Requirements
4 The RSDS in Scientific Research
4.1 Statistical Data Analysis
4.2 Analysis of Collaboration Graph
4.3 Pawlak Numbers
5 Further Plans
6 Final Remarks
References
Dissertations
Selected Aspects of Interactive Feature Extraction
1 Introduction
1.1 Plan of the Paper
1.2 Main Contributions
2 Feature Extraction
2.1 Feature Engineering
2.2 Representation Learning and Dimensionality Reduction
2.3 Feature Selection
2.4 Information Granulation in Feature Extraction
2.5 Rough Set Methods for Feature Selection
3 Resilient Feature Selection
3.1 C-reducts
3.2 r- C -reducts
3.3 Breadth First Search Algorithms
3.4 Computational Complexity Study
3.5 Depth First Search Algorithms
4 Technical Aspects of Interactive Feature Engineering
4.1 Sliding Window-Based Feature Engineering
4.2 Feature Space Granulation in Feature Selection
4.3 Framework for Multi-stream Data Analysis
5 Evaluation, Practical Applications
5.1 Methane Outbreaks
5.2 Seismic Events
5.3 Tagging Firefighter Posture and Activities
5.4 Spot Instances Price Prediction
6 Concluding Remarks and Future Works
6.1 Summary
6.2 Future Works
A Data Insights
A.1 Methane Data
A.2 Seismic Data
A.3 Firefighter Data
A.4 AWS Spot Data
B
B.1 Expert Methods for Classifications of Seismic Hazards in Coal Mines
References
A Study of Algebraic Structures and Logics Based on Categories of Rough Sets
1 Introduction
2 Preliminaries
2.1 Some Distributive Lattices
2.2 Basic Category Theory
2.3 Some Categories of Rough Sets
2.4 Transformation Semigroups and Semiautomata
2.5 The Logic
2.6 Bounded Distributive Lattice Logic
3 Categories of Rough Sets
3.1 Categories - RSC and ROUGH
3.2 Generalizations of RSC and -RSC
3.3 Properties of RSC(C)
3.4 Some More Categories of Rough Sets
3.5 Conclusions
4 Transformation Semigroups and Semiautomata for Rough Sets
4.1 Transformation Semigroups for Rough Sets
4.2 Algebra on Transformation Semigroups for Rough Sets
4.3 Decomposition Theorems
4.4 Rough Sets and Automata Theory
4.5 Conclusions
5 Contrapositionally Complemented Pseudo-Boolean Algebras
5.1 Algebras of Strong Subobjects in RSC and RSC(C)
5.2 The Algebras ccpBa and ccpBa
5.3 Comparison with Other Algebras
5.4 Representation Theorems
5.5 Conclusions
6 The Logic ILM
6.1 Intuitionistic Logic with Minimal Negation
6.2 Kripke-Style Relational Semantics for ILM
6.3 Connection Between Sub-normal Frames and ccpBa
6.4 Conclusions
7 The Logic Kim
7.1 The Logics Kim and Kim-
7.2 Relational Semantics for Kim
7.3 Connection Between Sub-compatibility Frames and Kim-algebras
7.4 Conclusions
8 Conclusions and Future Work
8.1 Future Work
A List of abbreviations
B List of symbols
References
Author Index