Peters, James F. <br/><br/>
Transactions on Rough Sets II  Rough Sets and Fuzzy Sets /  [electronic resource] : 
edited by James F. Peters, Andrzej Skowron, Didier Dubois, Jerzy W. Grzymaa-Busse, Masahiro Inuiguchi, Lech Polkowski. 
 - X, 363 p. Also available online.  online resource. 
 - Lecture Notes in Computer Science,  3135  0302-9743 ; .
 - Lecture Notes in Computer Science,  3135 .
<br/><br/>Feature Selection with Rough Sets for Web Page Classification -- On Learning Similarity Relations in Fuzzy Case-Based Reasoning -- Incremental versus Non-incremental Rule Induction for Multicriteria Classification -- Three Strategies to Rule Induction from Data with Numerical Attributes -- Fuzzy Transforms -- Possible Equivalence Relations and Their Application to Hypothesis Generation in Non-deterministic Information Systems -- Applications of Fuzzy Logic Functions to Knowledge Discovery in Databases -- Fuzzy Integral Based Fuzzy Switching Functions -- First Steps towards Computably-Infinite Information Systems -- Data Structure and Operations for Fuzzy Multisets -- A Non-controversial Definition of Fuzzy Sets -- Algebraic Structures for Rough Sets -- Rough Mereology as a Link between Rough and Fuzzy Set Theories. A Survey -- Fuzzy Rough Sets Based on Residuated Lattices -- Semantics of Fuzzy Sets in Rough Set Theory -- A New Proposal for Fuzzy Rough Approximations and Gradual Decision Rule Representation -- Emergent Rough Set Data Analysis. 
<br/><br/>ZDB-2-SCS ZDB-2-LNC 
<br/><br/><label>ISBN: </label>9783540277781 
<br/><br/><label>Standard No.: </label>10.1007/b100633  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer science.<br/>Database management.<br/>Artificial intelligence.<br/>Computer vision.<br/>Optical pattern recognition.<br/>Computer Science.<br/>Computation by Abstract Devices.<br/>Mathematical Logic and Formal Languages.<br/>Artificial Intelligence (incl. Robotics).<br/>Database Management.<br/>Pattern Recognition.<br/>Image Processing and Computer Vision.
<br/><br/><label>LC Class. No.: </label>QA75.5-76.95 
<br/><br/><label>Dewey Class. No.: </label>004.0151