Transactions on Rough Sets VIII

• Corporate Author: SpringerLink (Online service)
• Other Authors: Peters, James F. (Editor), Skowron, Andrzej (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Series: Lecture Notes in Computer Science, 5084
• Subjects: Computer science.; Computers.; Mathematical logic.; Database management.; Data mining.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.; Theory of Computation.; Mathematical Logic and Formal Languages.; Computation by Abstract Devices.; Database Management.

VolumeVIIIoftheTransactions on Rough Sets (TRS)containsa widespectrum of contributions to the theory and applications of rough sets. The pioneering work by Prof. Zdzis law Pawlak led to the introduction of knowledge representation systems during the early 1970s and the discovery of rough sets during...

Table of Contents:

• Some Rough Consequence Logics and their Interrelations
• Local and Global Approximations for Incomplete Data
• A Rough Set Approach to Multiple Criteria ABC Analysis
• Partially Ordered Monads and Rough Sets
• A Rough Sets Approach to the Identification and Analysis of Factors Affecting Biological Control of Leafy Spurge
• Interpretation of Extended Pawlak Flow Graphs Using Granular Computing
• Generalized Indiscernibility Relations: Applications for Missing Values and Analysis of Structural Objects
• A Categorical Approach to Mereology and Its Application to Modelling Software Components
• Esoteric Rough Set Theory: Algebraic Semantics of a Generalized VPRS and VPFRS
• Domain Knowledge Assimilation by Learning Complex Concepts
• Information Quanta and Approximation Operators: Once More Around the Track
• On Partial Covers, Reducts and Decision Rules
• Evolutionary Rough k-Medoid Clustering
• The Rough Set Database System
• A Model of User-Oriented Reduct Construction for Machine Learning
• Research on Rough Set Theory and Applications in China
• Rough Neural Fault Classification of Power System Signals.