Computational Intelligence Systems in Industrial Engineering

1. Front Matter

   Pages i-xx

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2. Computational Intelligent Systems in IndustrialEngineering

   • Cengiz Kahraman

   Pages 1-22

3. A Comparison of Methods for Selecting Preferred Solutions in Multiobjective Decision Making

   • Enrico Zio, Roberta Bazzo

   Pages 23-43

4. Using a Recommender System to Help the Technology Transfer Office Staff to Disseminate Selective Information

   • C. Porcel, A. Tejeda-Lorente, M. A. Martínez, E. Herrera-Viedma

   Pages 45-69

5. Power of Linguistic Data Summaries and Their Protoforms

   • Janusz Kacprzyk, Sławomir Zadro˙zny

   Pages 71-90

6. Can Fuzzy Logic Formalism Bring Complex Environmental Issues into Focus?

   • Ashok Deshpande

   Pages 91-107

7. TOPSIS and its Extensions: Applications for Road Safety Performance Evaluation

   • Qiong Bao, Da Ruan, Yongjun Shen, Elke Hermans, Davy Janssens

   Pages 109-130

8. Fuzzy Failure Rate for Nuclear Power Plant Probabilistic Safety Assessment by Fault Tree Analysis

   • Julwan Hendry Purba, Jie Lu, Guangquan Zhang

   Pages 131-154

9. A Fuzzy Analytic Network Process Approach

   • Umut Asan, Ayberk Soyer, Seyda Serdarasan

   Pages 155-179

10. Swarm Intelligence Optimization: Applications of Particle Swarms in Industrial Engineering and Nuclear Power Plants

    • Miltiadis Alamaniotis, Andreas Ikonomopoulos, Lefteri H. Tsoukalas

    Pages 181-202

11. A Review of Genetic Algorithm Applications in Supply Chain Network Design

    • Cagatay Iris, Seyda Serdarasan

    Pages 203-230

12. Fuzzy PROMETHEE for the Environmental Quality Assessment of Energy Dedicated Crops

    • Fausto Cavallaro, Luigi Ciraolo

    Pages 231-250

13. Forecasting Energy Demand Using Fuzzy Seasonal Time Series

    • ˙Irem Uçal Sarı, Ba¸sar Öztay¸si

    Pages 251-269

14. Multi-Objective Scheduling Problems for Re-Entrant Shops

    • Atefeh Moghaddam, Farouk Yalaoui, Lionel Amodeo

    Pages 271-293

15. An Introduction to Self-Organizing Maps

    • Umut Asan, Secil Ercan

    Pages 295-315

16. Fuzzy Multi-Objective Programming for Energy Resource Planning

    • Adesh Jinturkar, Sandip Deshmukh

    Pages 317-333

17. Fuzzy Simulation Based Chance ConstrainedProgramming

    • Erhan Bozdag, Ceren Buket Kayı, Pınar Dursun

    Pages 335-361

18. A Cooperative Intelligent Approach for Job-shop Scheduling Based on Bacterial Foraging Strategy and Particle Swarm Optimization

    • Hongwei Ge, Guozhen Tan

    Pages 363-383

19. Using Fuzzy Cognitive Maps as a Modeling Tool for Traveler Satisfaction in Public Transit Systems

    • Seda Ugurlu, Y. Ilker Topcu

    Pages 385-404

20. Genetic Algorithm to Solve Container Storage Problem for a Single and Various Types

    • Imen Ayachi, Ryan Kammarti, Pierre Borne

    Pages 405-427

Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems. It is concerned with the development, improvement, implementation and evaluation of production and service systems. Computational Intelligence Systems find a wide application area in industrial engineering: neural networks in forecasting, fuzzy sets in capital budgeting, ant colony optimization in scheduling, Simulated Annealing in optimization, etc. This book will include most of the application areas of industrial engineering through these computational intelligence systems. In the literature, there is no book including many real and practical applications of Computational Intelligence Systems from the point of view of Industrial Engineering. Every chapter will include explanatory and didactic applications. It is aimed that the book will be a main source for MSc and PhD students.

• Computer science
• Decision sciences
• Engineering
• Fuzzy logic and neural networks
• Industrial engineering

• Fac. Management, Dept. Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

  Cengiz Kahraman

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