Peters, James F.
Transactions on Rough Sets XII [electronic resource] / edited by James F. Peters, Andrzej Skowron, Roman Słowiński, Pawan Lingras, Duoqian Miao, Shusaku Tsumoto. - X, 339p. 5 illus. in color. online resource. - Lecture Notes in Computer Science, 6190 0302-9743 ; . - Lecture Notes in Computer Science, 6190 .
Granular Rough Mereological Logics with Applications to Dependencies in Information and Decision Systems -- On Topological Dominance-based Rough Set Approach -- A Study of Multiple-Source Approximation Systems -- A New Knowledge Reduction Algorithm Based on Decision Power in Rough Set -- Comparison of Some Classification Algorithms Based on Deterministic and Nondeterministic Decision Rules -- Gene Selection and Cancer Classification: A Rough Sets Based Approach -- Evolutionary-Rough Feature Selection for Face Recognition -- Spatial Reasoning Based on Rough Mereology: A Notion of a Robot Formation and Path Planning Problem for Formations of Mobile Autonomous Robots -- Perceptually Near Pawlak Partitions -- A Novel Split and Merge Technique for Hypertext Classification -- A Non-boolean Lattice Derived by Double Indiscernibility -- Rough Set Approximations in Formal Concept Analysis -- On the Relation between Jumping Emerging Patterns and Rough Set Theory with Application to Data Classification.
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. This volume contains 8 revised selected papers from 11 submissions to the Rough Set and Knowledge Technology Conference (RSKT 2008), together with 5 papers introducing advances in rough set theory and its applications. The topics covered are: perceptually near Pawlak partitions, hypertext classification, topological space versus rough set theory in terms of lattice theory, feature extraction in interval-valued information systems, jumping emerging patterns (JEP), and rough set theory.
9783642144677
10.1007/978-3-642-14467-7 doi
Computer science.
Information theory.
Artificial intelligence.
Computer vision.
Optical pattern recognition.
Computer Science.
Mathematical Logic and Formal Languages.
Computation by Abstract Devices.
Theory of Computation.
Image Processing and Computer Vision.
Pattern Recognition.
Artificial Intelligence (incl. Robotics).
QA8.9-QA10.3
005.131
Transactions on Rough Sets XII [electronic resource] / edited by James F. Peters, Andrzej Skowron, Roman Słowiński, Pawan Lingras, Duoqian Miao, Shusaku Tsumoto. - X, 339p. 5 illus. in color. online resource. - Lecture Notes in Computer Science, 6190 0302-9743 ; . - Lecture Notes in Computer Science, 6190 .
Granular Rough Mereological Logics with Applications to Dependencies in Information and Decision Systems -- On Topological Dominance-based Rough Set Approach -- A Study of Multiple-Source Approximation Systems -- A New Knowledge Reduction Algorithm Based on Decision Power in Rough Set -- Comparison of Some Classification Algorithms Based on Deterministic and Nondeterministic Decision Rules -- Gene Selection and Cancer Classification: A Rough Sets Based Approach -- Evolutionary-Rough Feature Selection for Face Recognition -- Spatial Reasoning Based on Rough Mereology: A Notion of a Robot Formation and Path Planning Problem for Formations of Mobile Autonomous Robots -- Perceptually Near Pawlak Partitions -- A Novel Split and Merge Technique for Hypertext Classification -- A Non-boolean Lattice Derived by Double Indiscernibility -- Rough Set Approximations in Formal Concept Analysis -- On the Relation between Jumping Emerging Patterns and Rough Set Theory with Application to Data Classification.
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. This volume contains 8 revised selected papers from 11 submissions to the Rough Set and Knowledge Technology Conference (RSKT 2008), together with 5 papers introducing advances in rough set theory and its applications. The topics covered are: perceptually near Pawlak partitions, hypertext classification, topological space versus rough set theory in terms of lattice theory, feature extraction in interval-valued information systems, jumping emerging patterns (JEP), and rough set theory.
9783642144677
10.1007/978-3-642-14467-7 doi
Computer science.
Information theory.
Artificial intelligence.
Computer vision.
Optical pattern recognition.
Computer Science.
Mathematical Logic and Formal Languages.
Computation by Abstract Devices.
Theory of Computation.
Image Processing and Computer Vision.
Pattern Recognition.
Artificial Intelligence (incl. Robotics).
QA8.9-QA10.3
005.131