This book introduces students on Multiple Criteria Decision Aiding and Making courses to practical, real-world cases. Each case study introduces a problem or situation together with a method, and a description and explanation of a computer application. In this sense each chapter is based on four...

Chapter 1. Data Envelopment Analysis and Big Data: Revisit with a Faster Method -- Chapter 2. Data Envelopment Analysis (DEA): Algorithms, Computations, and Geometry -- Chapter 3. An Introduction to Data Science and Its Applications: an Introduction to Data Science and Its Applications --...

Chapter 1. Introduction -- Chapter 2. New Definitions of Economic Cross-Efficiency -- Chapter 3. Evaluating Efficiency in Non-Homogeneous Environments -- Chapter 4. Testing Positive Endogeneity in Inputs in Data Envelopment Analysis -- Chapter 5. Modelling Pollution-Generating Technologies: A...