Intelligent Decision Making in Quality Management
Seda Yanik
Venduto da buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Venditore AbeBooks dal 23 gennaio 2017
Nuovi - Brossura
Condizione: Nuovo
Quantità: 2 disponibili
Aggiungere al carrelloVenduto da buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Venditore AbeBooks dal 23 gennaio 2017
Condizione: Nuovo
Quantità: 2 disponibili
Aggiungere al carrelloNeuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 484 pp. Englisch.
Codice articolo 9783319343174
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.
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.
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