Springer Intelligent Decision Making in Quality Management: Theory and Applications: 97 (Intelligent Systems Reference Library, 97)

  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.   Review “They have produced this excellent collection, covering topics from literature surveys, industrial practices, theories, and case studies. The volume contains 15 chapters, each devoted to a facet of the field. … This collection should interest people who want a comprehensive overview or are starting research in this area.” (Anoop Malaviya, Computing Reviews, computingreviews.com, October, 2016) From the Back Cover   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.