Titlebook: Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam; Volume 1 Andrzej Skowron,Zbigniew Suraj Book 2013 Springer-Verl

慢慢啃

Algebras for Information Systems,s generated from these information systems are considered and corresponding abstract algebras are proposed. Representation theorems for these classes of abstract algebras are proved, which lead us to equational logics for deterministic, incomplete, and non-deterministic information systems.

Conclave

种植,培养

谄媚于人

Music Information Retrieval in Music Repositories,al and music recommendation are discussed. Next, experiments performed on a constructed music database are presented. A proposal for music retrieval and annotation aided by gaze tracking is also discussed.

合适

Rough Support Vectors: Classification, Regression, Clustering,port vector techniques provides a natural relationship with the rough set theory. This chapter describes rough set theoretic extensions of support vector technologies for classification, prediction, and clustering. The theoretical formulations of rough support vector machines, rough support vector r

新字

Logic-Based Roughification,larity relations adequate for Pawlak-like approximations. Such techniques are fundamental in rough set theory. We propose and investigate novel roughification techniques. We show that using the proposed techniques one can often discern objects indiscernible by original similarity relations, what res

FORGO

Camouflage

手术刀

Towards a Comprehensive Similarity Analysis of Voting Procedures Using Rough Sets and Similarity Meative evaluation of how similar the particular voting procedures are. This quantitative evaluation, when combined with a more qualitative evaluation obtained by using rough sets, provide a comprehensive view of similarity.

SEMI

DNA Rough-Set Computing in the Development of Decision Rule Reducts,dy, we propose a method of DNA rough-set computing composed of computational DNA molecular techniques used for decision rule reducts. This method can be effectively employed to alleviate the computational complexity of the problem.