Transactions on Rough Sets XXI, 1st ed. 2019 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 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.
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.
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 : 02-2019
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 XXI :
Mots-clés :
artificial intelligence; attribute reduction; computer software reusability; data mining; databases; Discernibility matrix; equivalence classes; equivalence relations; fuzzy sets; graph theory; information management; information technology; learning algorithms; problem solving; rough set theory; set theory; software design; software engineering; software evaluation; theorem proving