Transactions on Rough Sets XII [electronic resource] / edited by James F. Peters, Andrzej Skowron, Roman Słowiński, Pawan Lingras, Duoqian Miao, Shusaku Tsumoto.
Material type: TextSeries: Lecture Notes in Computer Science ; 6190Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Description: X, 339p. 5 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642144677Subject(s): 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)Additional physical formats: Printed edition:: No titleDDC classification: 005.131 LOC classification: QA8.9-QA10.3Online resources: Click here to access onlineCurrent library | Home library | Call number | Materials specified | URL | Status | Date due | Barcode |
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IMSc Library | IMSc Library | Link to resource | Available | EBK9166 |
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.
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