 | Multi-Criteria Decision Analysis: Case Studies in Disaster Management Subjects: Economics Finance Business & Industry; Engineering & Technology; Mathematics & Statistics; Politics & International Relations; Industrial Engineering & Manufacturing; Mathematics & Statistics for Engineers; Engineering Management; Business Management and Accounting; Systems & Control Engineering; Advanced Mathematics; Statistics & Probability; Military & Strategic Studies; Risk Management; Operations Research; General Systems; Systems Engineering; Operations Research; Ergonomics; Analysis - Mathematics; Security Studies - Military & Strategic; Multi-Criteria Decision-Making (MCDM) includes methods and tools for modeling and solving complex problems. MCDM has become popular in the production and service sectors to improve the quality of service, reduce costs, and make people more prosperous. This book illustrates applications through case studies focused on disaster management. With a presentation of both Multi-Attribute Decision-Making (MADM) and Multi-Objective Decision-Making (MODM) models, this is the first book that merges these methods and tools with disaster management. The book raises awareness for society and decision-makers on how to measure readiness and what necessary preventive measures need to be taken. It offers models and case studies that can be easily adapted for solving complex problems and finding solutions in other fields. Multi-Criteria Decision Analysis: Case Studies in Disaster Management will offer new insights to researchers working in the areas of industrial engineering, systems engineering, healthcare systems, operations research, mathematics, business, computer science, and disaster management, and hopefully the book will stimulate further work in MCDA. Muhammet Gul has been working as an Associate Professor at the Department of Transportation and Logistics, Istanbul University, Istanbul, Turkey. He has received his MSc and Ph.D. in Industrial Engineering from Yildiz Technical University. His research interests are in simulation modeling, healthcare system management, occupational safety and risk assessment, multi-criteria decision-making, and fuzzy sets. He is the editor-in-chief of two books released in 2020: Computational Intelligence and Soft Computing Applications in Healthcare Management Science (IGI-Global) and Fine-Kinney-based fuzzy multi-criteria occupational risk assessment: Approaches, Case studies and Python applications (Springer). He is also the Associate Editor of Complex & Intelligent Systems (IF: 4.927), Mathematical Problems in Engineering (IF: 1.305), and Journal of Healthcare Engineering (IF: 2.686). Melih Yucesan completed his Ph.D. and has been working as Associate Professor at the Department of Emergency Aid and Disaster Management, Munzur University, Tunceli, Turkey. He received his PhD in Econometrics from Karadeniz Technical University. His research interests are in planning, forecasting, multi-criteria decision-making and fuzzy sets. His papers appeared in international journals such as International Journal of Disaster Risk Reduction, Applied Soft Computing, Energy Policy, Soft Computing and International Journal of Healthcare Management. Melike Erdoğan completed her Ph.D. at the Department of Industrial Engineering, Yıldız Technical University in 2018 and has been working as an Assistant Professor in Düzce University, Department of Industrial Engineering. Her research interests are Decision Making, Fuzzy Logic and Risk Analysis. Her papers appeared in journals such as Applied Soft Computing, Sustainable Cities and Societies, Soft Computing and Neural Computing and Applications. |
