000 01395nam a22003975i 4500
001 978-3-540-38885-2
003 DE-He213
005 20130515021508.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 _a9783540388852
_9978-3-540-38885-2
024 7 _a10.1007/978-3-540-38885-2
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aGegov, Alexander.
245 1 0 _aComplexity Management in Fuzzy Systems
_h[electronic resource] :
_bA Rule Base Compression Approach /
_cby Alexander Gegov.
260 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
300 _bdigital.
490 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v211
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540388838
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v211
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-38885-2
912 _aZDB-2-ENG
999 _c77863
_d77863