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001 978-3-642-28959-0
003 DE-He213
005 20200421111842.0
007 cr nn 008mamaa
008 120720s2013 gw | s |||| 0|eng d
020 _a9783642289590
_9978-3-642-28959-0
024 7 _a10.1007/978-3-642-28959-0
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aNew Concepts and Applications in Soft Computing
_h[electronic resource] /
_cedited by Valentina Emilia Balas, J�anos Fodor, Annam�aria R. V�arkonyi-K�oczy.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aX, 222 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v417
505 0 _aFrom the content: Combined Haar-Hilbert and Log-Gabor Based Iris Encoders -- Single-stroke Character Recognition with Fuzzy Method -- Color-based Image Retrieval Approaches Using a Relevance Feedback Scheme -- Real-valued Implication as Generalized Boolean Polynomial -- Value Generator of Maximum Power Point Coordinates of the Photovoltaic Panel External Characteristic -- Shadowed Fuzzy Sets: A Framework with More Freedom Degrees for Handling Uncertainties than Interval Type-2 Fuzzy Sets and Lower Computational Complexity than General Type-2 Fuzzy Sets.
520 _a              The book provides a sample of research on the innovative theory and applications of soft computing paradigms.             The idea of Soft Computing was initiated in 1981 when Professor Zadeh published his first paper on soft data analysis and constantly evolved ever since. Professor Zadeh defined Soft Computing as the fusion of the fields of fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming belief networks, evolutionary computing including DNA computing, chaos theory and parts of learning theory into one multidisciplinary system. As Zadeh said the essence of soft computing is that unlike the traditional, hard computing, soft computing is aimed at an accommodation with the pervasive imprecision of the real world. Thus, the guiding principle of soft computing is to exploit the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness, low solution cost and better rapport with reality. In the final analysis, the role model for soft computing is the human mind.             We hope that the reader will share our excitement and find our volume both useful and inspiring.
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 _aBalas, Valentina Emilia.
_eeditor.
700 1 _aFodor, J�anos.
_eeditor.
700 1 _aV�arkonyi-K�oczy, Annam�aria R.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642289583
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v417
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-28959-0
912 _aZDB-2-ENG
942 _cEBK
999 _c55650
_d55650