000			02194nam a22003737a 4500
003			OSt
005			20250620122037.0
008			250620b |||||||| |||| 00| 0 eng d
020			_a9783540899204 _q(hardcover)
040			_beng _cDLC _dDLC _erda _aSai University Library
082			_223 _a511.322 _bABR
245			_aRough Set Theory : _bA True Landmark in Data Analysis / _cAjith Abraham, Rafael Falcón, Rafael Bello editors
250			_a1st edition 2009
260			_aBerlin : _bSpringer, _c©2009.
264			_aBerlin : _bSpringer, _c©2009.
300			_axvi, 322 pages :
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
490			_aStudies in computational intelligence ; _vVolume 174
500			_aIncludes index
500			_aGifted by Ajith Abraham
504			_aIncludes bibliographical references and index
520			_aAlong the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still keeping an eye on topological aspects of the theory as well as strengthening its linkage with other soft computing paradigms. The volume comprises 11 chapters and is organized into three parts. Part 1 deals with theoretical contributions while Parts 2 and 3 focus on several real world data mining applications. Chapters authored by pioneers were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed. Academics, scientists as well as engineers working in the rough set, computational intelligence, soft computing and data mining research area will find the comprehensive coverage of this book invaluable.
650			_aRough sets
650			_aSet theory
650			_aComputational Intelligence
650			_aRough Set Research
700			_aAbraham, Ajith _eeditor
700			_aFalcón, Rafael _eeditor
700			_aBello, Rafael _eeditor
830			_aStudies in computational intelligence ; _sv. 174
942			_2ddc _cBK
999			_c6799 _d6799