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Transactions on Rough Sets XXIII

Title
Transactions on Rough Sets XXIII [electronic resource] / edited by James F. Peters, Andrzej Skowron, Rabi Nanda Bhaumik, Sheela Ramanna.
ISBN
9783662665442
Edition
1st ed. 2022.
Publication
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2022.
Physical Description
1 online resource (IX, 509 p.) 154 illus., 55 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 05, 2023
Series
Transactions on Rough Sets, 13610
Transactions on Rough Sets, 13610
Contents
FRSA 2021 Conference Papers
Zdzislaw Pawlak and Our Journey with Rough Sets
Fuzzy -cut in Rough Sets and Its Application
Named Entity Recognition on CORD-19 Bio-medical Dataset with Tolerance Rough Sets
Granularity and Rational Approximation: Rethinking Graded Rough Sets
MADM Strategies Based on Arithmetic and Geometric Mean Operator under Rough-Bipolar Neutrosophic Set Environment
Single-Valued Neutrosophic Rough Continuous Mapping via Single-Valued Neutrosophic Rough Topological Space
Regular Paper
The RSDS - Bibliographic Database for Rough Sets and Related Fields
Dissertations
Selected Aspects of Interactive Feature Extraction
A Study of Algebraic Structures and Logics based on Categories of Rough Sets.
Citation

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