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Transactions on Rough Sets XXI [electronic resource] /

Contributor(s): Material type: TextTextSeries: Transactions on Rough Sets ; 10810Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2019Edition: 1st ed. 2019Description: IX, 325 p. 143 illus., 58 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783662587683
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
Descriptive Topological Spaces For Performing Visual Search -- Double Successive Rough Set Approximations -- Dialectical Rough Sets, Parthood and Figures of Opposition-I -- Jan Lukasiewicz: Life, Work, Legacy -- A Logic for Spatial Reasoning in the Framework of Rough Mereology -- Compound Objects Comparators in Application to Similarity Detection and Object Recognition -- Rseslib 3: Library of Rough Set and Machine Learning Methods with Extensible Architecture.
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 XXI 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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Descriptive Topological Spaces For Performing Visual Search -- Double Successive Rough Set Approximations -- Dialectical Rough Sets, Parthood and Figures of Opposition-I -- Jan Lukasiewicz: Life, Work, Legacy -- A Logic for Spatial Reasoning in the Framework of Rough Mereology -- Compound Objects Comparators in Application to Similarity Detection and Object Recognition -- Rseslib 3: Library of Rough Set and Machine Learning Methods with Extensible Architecture.

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 XXI 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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