Intelligent Decision Making in Quality Management

Theory and Applications

  • Cengiz Kahraman
  • Seda Yanik

Part of the Intelligent Systems Reference Library book series (ISRL, volume 97)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Seda Yanık, Cengiz Kahraman, Hafize Yılmaz
    Pages 71-100
  3. Bulut Aslan, Yeliz Ekinci, Ayhan Özgür Toy
    Pages 101-125
  4. Abbas Parchami, B. Sadeghpour-Gildeh
    Pages 127-140
  5. Cengiz Kahraman, Ebru Turanoglu Bekar, Ozlem Senvar
    Pages 179-211
  6. Tibor Kulcsár, Barbara Farsang, Sándor Németh, János Abonyi
    Pages 237-263
  7. Huimin Jiang, C. K. Kwong, X. G. Luo
    Pages 327-362
  8. Kok-Zuea Tang, Kok-Kiong Tan, Tong-Heng Lee
    Pages 389-419
  9. Pasqualina Potena, Ivica Crnkovic, Fabrizio Marinelli, Vittorio Cortellessa
    Pages 421-446
  10. Back Matter
    Pages 463-466

About this book

Introduction

 

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.

 

Keywords

Decision Making Intelligent Decision Making Intelligent Systems Quality Control Quality Management

Editors and affiliations

  • Cengiz Kahraman
    • 1
  • Seda Yanik
    • 2
  1. 1.İşletme FakültesiIstanbul Technical UniversityIstanbulTurkey
  2. 2.Industrial Engg DeptIstanbul Technical UniversityIstanbulTurkey

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-24499-0
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-24497-6
  • Online ISBN 978-3-319-24499-0
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • About this book
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