TY - BOOK ID - 14224323 TI - Intelligent Decision Making in Quality Management : Theory and Applications AU - Kahraman, Cengiz. AU - Yanik, Seda. PY - 2016 SN - 3319244973 331924499X PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Computer Science KW - Engineering & Applied Sciences KW - Decision making. KW - Total quality management. KW - Quality control. KW - Quality management, Total KW - TQM (Total quality management) KW - Deciding KW - Decision (Psychology) KW - Decision analysis KW - Decision processes KW - Making decisions KW - Management KW - Management decisions KW - Decision making KW - Engineering. KW - Artificial intelligence. KW - Computational intelligence. KW - Computational Intelligence. KW - Artificial Intelligence (incl. Robotics). KW - Operations Research/Decision Theory. KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Construction KW - Industrial arts KW - Technology KW - Factory management KW - Industrial engineering KW - Reliability (Engineering) KW - Sampling (Statistics) KW - Standardization KW - Quality assurance KW - Quality of products KW - Total quality control KW - Choice (Psychology) KW - Problem solving KW - Operations research. KW - Artificial Intelligence. KW - Operational analysis KW - Operational research KW - Management science KW - Research KW - System theory UR - https://www.unicat.be/uniCat?func=search&query=sysid:14224323 AB -   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.  . ER -