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Transactions on Rough Sets XXII [electronic resource] /

Contributor(s): Material type: TextTextSeries: Transactions on Rough Sets ; 12485Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XI, 325 p. 113 illus., 20 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783662627983
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.312 23
LOC classification:
  • QA76.9.D343
Online resources:
Contents:
Decision Trees with at Most 19 Vertices for Knowledge Representation -- jj-ROSETTA -- Sequences of Refinements of Rough Sets: Logical and Algebraic Aspects -- A Study of Algebras and Logics of Rough Sets based on Classical and Generalized Approximation Spaces -- Similarity-based Rough Sets and its Applications in Data Mining.
In: Springer Nature eBookSummary: 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 XXII 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.
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Decision Trees with at Most 19 Vertices for Knowledge Representation -- jj-ROSETTA -- Sequences of Refinements of Rough Sets: Logical and Algebraic Aspects -- A Study of Algebras and Logics of Rough Sets based on Classical and Generalized Approximation Spaces -- Similarity-based Rough Sets and its Applications in Data Mining.

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 XXII 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.

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