Transactions on Rough Sets XXI

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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.


Is a continuation of a number of research streams that have grown out of the seminal work of Zdzislaw Pawlak Topics include foundations and applications of rough sets as well as foundations and applications of hybrid methods combining rough sets with other approaches important for the development of intelligent systems Includes a chapter on Jan Lukasiewicz and his results on the foundational role as a vehicle for reasoning modes

Inhalt

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.



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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783662587676
    • Editor Andrzej Skowron, James F. Peters
    • Sprache Englisch
    • Auflage 1st edition 2019
    • Größe H235mm x B155mm x T19mm
    • Jahr 2019
    • EAN 9783662587676
    • Format Kartonierter Einband
    • ISBN 366258767X
    • Veröffentlichung 12.02.2019
    • Titel Transactions on Rough Sets XXI
    • Untertitel Lecture Notes in Computer Science 10810 - Transactions on Rough Sets
    • Gewicht 511g
    • Herausgeber Springer Berlin Heidelberg
    • Anzahl Seiten 336
    • Lesemotiv Verstehen
    • Genre Informatik

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