000 03376nam a22004815i 4500
001 978-3-642-30344-9
003 DE-He213
005 20200421112546.0
007 cr nn 008mamaa
008 120816s2013 gw | s |||| 0|eng d
020 _a9783642303449
_9978-3-642-30344-9
024 7 _a10.1007/978-3-642-30344-9
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aRough Sets and Intelligent Systems - Professor Zdzis�aw Pawlak in Memoriam
_h[electronic resource] :
_bVolume 1 /
_cedited by Andrzej Skowron, Zbigniew Suraj.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aLII, 652 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v42
505 0 _aFrom the Contents: Professor Zdzis.aw Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence -- List ofWorks by Professor Zdzis.aw Pawlak (1926-2006) : -- Rough Sets: From Rudiments to Challenges -- Zdzis.aw Pawlak, Databases and Rough Sets -- jMAF - Dominance-based Rough Set Data Analysis Framework -- Dynamic Programming Approach for Exact Decision Rule Optimization -- Approaches for Updating Approximations in Set-Valued Information Systems while Objects and Attributes Vary with Time -- On the Gradual Evolvement of Things -- An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification -- Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning.
520 _aThis book is dedicated to the memory of Professor Zdzis{\l}aw Pawlak who passed away almost six year ago. He is the founder of the Polish school of Artificial Intelligence and one of the pioneers in Computer Engineering and Computer Science with worldwide influence. He was a truly great scientist, researcher, teacher and a human being. This book prepared in two volumes contains more than 50 chapters. This demonstrates that the scientific approaches  discovered by of Professor Zdzis{\l}aw Pawlak, especially the rough set approach as a tool for dealing with imperfect knowledge, are vivid and intensively explored by many researchers in many places throughout the world. The submitted papers prove that interest in rough set research is growing and is possible to see many new excellent results both on theoretical foundations and applications of rough sets alone or in combination with other approaches. We are proud to offer the readers this book.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aSkowron, Andrzej.
_eeditor.
700 1 _aSuraj, Zbigniew.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642303432
830 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v42
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-30344-9
912 _aZDB-2-ENG
942 _cEBK
999 _c58591
_d58591