000 | 03535nam a22004935i 4500 | ||
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001 | 978-3-319-24499-0 | ||
003 | DE-He213 | ||
005 | 20200420221250.0 | ||
007 | cr nn 008mamaa | ||
008 | 151030s2016 gw | s |||| 0|eng d | ||
020 |
_a9783319244990 _9978-3-319-24499-0 |
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024 | 7 |
_a10.1007/978-3-319-24499-0 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aIntelligent Decision Making in Quality Management _h[electronic resource] : _bTheory and Applications / _cedited by Cengiz Kahraman, Seda Yanik. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
|
300 |
_aXVIII, 466 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aIntelligent Systems Reference Library, _x1868-4394 ; _v97 |
|
505 | 0 | _aIntelligent Decision Making Techniques in Quality Management: A Literature Review -- Intelligent Process Control Using Control Charts - I: Control Charts for Variables -- Intelligent Process Control Using Control Charts - II: Control Charts for Attributes -- Special Control Charts Using Intelligent Techniques: EWMA Control Charts -- Trends on Process Capability Indices in Fuzzy Environment -- An Integrated Framework to analyze the Performance of Process Industrial Systems Using a Fuzzy and Evolutionary Algorithm -- A Fuzzy Design of Single and Double Acceptance Sampling Plans -- Intelligent Decision Making Techniques in Quality Management: A Literature Review -- Multivariate Statistical and Computational Intelligence Techniques for Quality Monitoring of Production Systems -- Failure Mode and Effects Analysis under Uncertainty: A Literature Review and Tutorial -- QFD using Intelligent Techniques -- Process Improvement Using Intelligent Six Sigma -- Taguchi Method Using Intelligent Techniques -- Software Architecture Quality of Service Analysis Based on Optimization Models -- Key-Driver Analysis with Extended Back-Propagation Neural Network Based Importance-Performance Analysis (BPNN-IPA). | |
520 | _a This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved applications of intelligence include techniques such as fuzzy sets, neural networks, genetic algorithms, etc. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems. The book will serve as an excellent reference for quality managers, researchers, lecturers and postgraduate students in this area. The authors of the chapters are well-known researchers in the area of quality management. . | ||
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). |
650 | 2 | 4 | _aOperations Research/Decision Theory. |
700 | 1 |
_aKahraman, Cengiz. _eeditor. |
|
700 | 1 |
_aYanik, Seda. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319244976 |
830 | 0 |
_aIntelligent Systems Reference Library, _x1868-4394 ; _v97 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-24499-0 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c52531 _d52531 |