Analytical Decision Making and Data Envelopment Analysis

Seyyed Ahmad Edalatpanah is Associate Professor at the Department of Applied Mathematics and the Chief of Research and Development at the Ayandegan Institute of Higher Education, Tonekabon, Iran. He received his PhD in applied mathematics from the University of Guilan, Rasht, Iran. His fields of interest are data envelopment analysis, uncertainty, fuzzy mathematics, numerical linear algebra, soft computing and optimization. With more than 100 papers in journals and conference proceedings, he serves on the editorial boards of several international journals. He is also the Editor-in-Chief of the International Journal of Research in Industrial Engineering.Farhad Hosseinzadeh Lotfi is Full Professor of Mathematics at the Science and Research Branch, Islamic Azad University (IAU), Tehran, Iran. He received his PhD in Applied Mathematics from the Science and Research Branch at IAU. His primary research interests are operations research and data envelopment analysis. He has published more than 300 scientific and technical papers in leading scientific journals. He is Editor-in-Chief of the Data Envelopment Analysis and Decision Science journal. He is also Director-in-Charge and on the editorial board of the International Journal of Industrial Mathematics.Kristiaan Kerstens is Research Professor at CNRS-LEM and Full Professor of Economics at the IESEG School of Management in Lille, France. His primary research focuses on developing a nonparametric methodology to analyse microeconomic production and portfolio behaviour. His work covers productivity indices and indicators, efficiency measurement (with a particular interest in nonconvexities), capacity utilization and multi-moment portfolio optimization. His publications appeared in outlets like the American Journal of Agricultural Economics, Economic Theory, European Journal of Operational Research, International Journal of Production Economics, Journal of Banking and Finance, Journal of Economic Dynamics and Control, Management Science, Scandinavian Journal of Economics, and Operations Research.Peter Wanke is Visiting Scholar at the Department of Marketing and Logistics of Ohio State University, USA. He is a Doctor of Sciences in Product Engineering from Graduation Programs in Engineering for Federal University of Rio De Janeiro (COPPE/UFRJ). He works in teaching, research and consultancy in the fields of facilities location, logistics and transport systems simulation, demand planning forecast, inventory management in supply chains, business unit efficiency analysis, and logistics strategy. With more than 60 papers published in conferences, magazines and journals, he is co-editor of many books and the author of Inventory Management in the Supply Chain: Decisions and Quantitative Models.

• Chapter 1 Merging Data Envelopment Analysis and Atructural Risk Minimization: Some Examples of Use of Multi-Output Machine Learning Techniques on Real-World Data.- Chapter 2 A New Network Data Envelopment Analysis Model for Efficacy Evaluation of Decision-Making Units.- Chapter 3 Possibilistic Network DEA Approach for Performance Evaluation of Two-Stage Decision-Making Units under Uncertainty.