Fuzzy Applications in Industrial Engineering by Cengiz Kahraman
Industrial Engineering (IE) is concerned with the design, improvement, and installation of integrated systems of people, material, equipment, and energy. Industrial engineers face many problems with incomplete and vague information in these systems since the characteristics of these problems often require this kind of information. Fuzzy sets approaches are usually most appropriate when human evaluations and the modeling of human knowledge are needed. IE brings a significant number of applications of fuzzy set theory.
After an introductory chapter explaining the recent status of fuzzy sets in IE, this volume involves application chapters on the major seven areas of IE to which fuzzy set theory can contribute. These major application areas are Control and Reliability, Engineering Economics and Investment Analysis, Group and Multi-criteria Decision-making, Human Factors Engineering and Ergonomics, Manufacturing Systems and Technology Management, Optimization Techniques, and Statistical Decision-making. Under these major areas, every chapter includes didactic numerical applications.
The authors
Among many authors in this book, some examples are H.-J. Zimmermann, Janusz Kacprzyk, Hideo Tanaka, Waldemar Karwowski, F. Herrera, C. Kolski, P. Paul Wang, E. Herrera-Viedma, Hung T. Nguyen, Vladik Kreinovich, Jose L. Verdegay, Tomoe Entani, Nikos Tsourveloudis, F. Jimenez.
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Fuzzy Logic, Smart Control, and the Future of Essential Oils
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Uncertain Portfolio Selection
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Bipolar Complex Fuzzy Sets
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Representations for Genetic and Evolutionary Algorithms
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The Book of Dede Korkut and Fuzzy Logic
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Meandering Around Fuzziness
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Fuzzy Models in Economics
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Fuzzy Graph Theory
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Fuzzy Fractional Differential Operators and Equations
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Integrating Soft Computing into Strategic Prospective Methods
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FineKinney-Based Fuzzy Multi-criteria Occupational Risk Assessment
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Recent Developments and the New Directions of Research, Foundations, and Applications
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Intelligent Systems and Applications in Business and Finance
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Real Life Applications of Multiple Criteria Decision Making Techniques in Fuzzy Domain
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Recent Developments and the New Direction in Soft-Computing Foundations and Applications
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Fuzzy Mathematical Analysis and Advances in Computational Mathematics
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Decision Making with Spherical Fuzzy Sets
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Interval-Valued Methods in Classifications and Decisions
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How Fuzzy Concepts Contribute to Machine Learning
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Double Hierarchy Linguistic Term Set and Its Extensions
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Data Envelopment Analysis with R
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A General Theory of Entropy
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An Introduction to Analytical Fuzzy Plane Geometry
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More-for-Less Solutions in Fuzzy Transportation Problems
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Neutrosophic Paradigms: Advancements in Decision Making and Statistical Analysis
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Fuzzy Semirings with Applications to Automata Theory
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Aggregation Operators for Various Extensions of Fuzzy Set and Its Applications in Transportation Problems
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Recent Advances in Intuitionistic Fuzzy Logic Systems and Mathematics
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Soft Computing for Reservoir Characterization and Modeling
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Fuzzy Optimization
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Fuzziness and Foundations of Exact and Inexact Sciences
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Production Engineering and Management under Fuzziness
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Soft Computing Applications in Optimization, Control, and Recognition
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Autonomous Robotic Systems
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Multicriteria and Multiagent Decision Making with Applications to Economics and Social Sciences
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Fuzzy Cognitive Maps
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Soft Computing in XML Data Management
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Intelligent Systems in Digital Transformation
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Decision Making with Spherical Fuzzy Sets
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Production Engineering and Management under Fuzziness
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Supply Chain Management Under Fuzziness
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Computational Intelligence Systems in Industrial Engineering
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Intelligent and Fuzzy Systems
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Intelligent Decision Making in Quality Management
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Fuzzy Logic in Its 50th Year
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Customer Oriented Product Design
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Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets
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Intelligence Systems in Environmental Management: Theory and Applications
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Fuzzy Statistical Decision-Making
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Intelligent and Fuzzy Techniques in Aviation 4.0
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Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation
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Fuzzy Multi-Criteria Decision Making
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Operations Research Applications in Health Care Management
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Fuzzy Engineering Economics with Applications
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Intelligent Techniques in Engineering Management
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Toward Humanoid Robots: The Role of Fuzzy Sets
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Analytic Hierarchy Process with Fuzzy Sets Extensions
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Energy Management—Collective and Computational Intelligence with Theory and Applications
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Energy ManagementCollective and Computational Intelligence with Theory and Applications
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Fuzzy Investment Decision Making with Examples
Dr. Eda Bolturk received her BSc degree in Industrial Engineering from Istanbul Commerce University and her MSc degree in Industrial Engineering from Istanbul Technical University. She was a Ph.D. student at Politecnico di Milano in Energy Department in Italy between 2013 and 2014. She received her Ph.D. degree in Industrial Engineering from Istanbul Technical University on fuzzy decision making. Her research areas are fuzzy logic, decision making, forecasting and risk management. She published more than 50 papers in international journals and chapters in international books. She organized some international conferences on fuzzy logic.
| SKU | Unavailable |
| ISBN 13 | 9783642070112 |
| ISBN 10 | 3642070116 |
| Title | Fuzzy Applications in Industrial Engineering |
| Author | Cengiz Kahraman |
| Series | Studies In Fuzziness And Soft Computing |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2010-12-16 |
| Number of pages | 598 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |