Transactions on Rough Sets XXII, 1st ed. 2020 Transactions on Rough Sets Series
Coordonnateurs : Peters James F., Skowron Andrzej
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.
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.
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
Date de parution : 12-2020
Ouvrage de 325 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 52,74 €
Ajouter au panierThèmes de Transactions on Rough Sets XXII :
Mots-clés :
approximation spaces; artificial intelligence; correlation analysis; data mining; decision theory; distributed computer systems; Field Programmable Gate Array (FPGA); formal logic; fuzzy sets; knowledge reduction; logic programming; machine learning; mathematics; parallel processing systems; programming languages; rough set theory; semantics; variable precision rough sets