000 02971nam a22004815i 4500
001 978-3-540-76290-4
003 DE-He213
005 20170628034811.0
007 cr nn 008mamaa
008 100301s2008 gw | s |||| 0|eng d
020 _a9783540762904
_9978-3-540-76290-4
024 7 _a10.1007/978-3-540-76290-4
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aBuckley, James J.
_eauthor.
245 1 0 _aMonte Carlo Methods in Fuzzy Optimization
_h[electronic resource] /
_cby James J. Buckley, Leonard J. Jowers.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _aXIII, 260 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 Fuzziness and Soft Computing,
_x1434-9922 ;
_v222
505 0 _aFuzzy Sets -- Crisp Random Numbers and Vectors -- Random Fuzzy Numbers and Vectors -- Tests for Randomness -- Applications -- Fuzzy Monte Carlo Method -- Fully Fuzzified Linear Programming I -- Fully Fuzzified Linear Programming II -- Fuzzy Multiobjective LP -- Solving Fuzzy Equations -- Fuzzy Linear Regression I -- Univariate Fuzzy Nonlinear Regression -- Multivariate Nonlinear Regression -- Fuzzy Linear Regression II -- Fuzzy Two-Person Zero-Sum Games -- Fuzzy Queuing Models -- Unfinished Business -- Fuzzy Min-Cost Capacitated Network -- Fuzzy Shortest Path Problem -- Fuzzy Max-Flow Problem -- Inventory Control: Known Demand -- Inventory Control: Fuzzy Demand -- Inventory Control: Backordering -- Fuzzy Transportation Problem -- Fuzzy Integer Programming -- Fuzzy Dynamic Programming -- Fuzzy Project Scheduling/PERT -- Max/Min Fuzzy Function -- Summary, Conclusions, Future Research -- Summary, Conclusions, Future Research.
520 _aThis book is a concise and readable introduction to Monte Carlo methods to find good approximate solutions to fuzzy optimization problems. Various basic applications and illustrative examples are presented in an understandable way. The aim of the book is to convince the reader that Monte Carlo methods can be useful in generating approximate solutions to fuzzy optimization problems.
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).
700 1 _aJowers, Leonard J.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540762898
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v222
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-76290-4
912 _aZDB-2-ENG
999 _c21582
_d21582