Sobre el autor
Adiel Teixeira de Almeida is currently Full Professor of management engineering at Universidade Federal de Pernambuco, Brazil. He is on the Editorial Board of a number of journals, such as Group Decision and Negotiation, Information Sciences and IMA Journal of Management Mathematics. Professor de Almeida’s interests are in decision-making related to multiple objectives and group decision problems, including methodological issues and applications.
Love Ekenberg is a Professor in Computer and Systems Sciences at Stockholm University, Kista, Sweden, and he is a Senior Research Scholar at the International Institute for Applied Systems Analysis (IIASA) in Austria. His research interests include risk and decision analysis, logic verification of complex industrial systems, and development cooperation.
Philip Scarf is a Professor of Management Mathematics at Cardiff Business School, Cardiff University, UK. He is Co-Editor-in-Chief, IMA Journal of Management Mathematics. His research interests include applying Statistics and Operations Research in reliability and maintenance, manufacturing informatics, autonomous systems, corrosion science, and sports.
Enrico Zio is Director of the Chair on Complex Systems and the Energy Challenge at Ecole Centrale Paris and Supelec, Fondation Europeenne pour l’Energie Nouvelle – Ed F, France and is a Full Professor in the Energy Department at Politecnico di Milano, Italy. His research interests include the integration of nuclear plant engineering skills, signal security and analysis in the development and application of advanced computational methods and models for evaluating the safety of nuclear components and systems, as well as the operation and safety maintenance of nuclear components and systems. He is the author of five books on reliability and risk assessment.
Ming Zuo is a Professor of Mechanical Engineering at the University of Alberta in Edmonton, Canada. His research interests include Reliability Engineering, Vibration Monitoring, Fault Diagnosis, Signal Processing, Condition-Based Maintenance Optimization, and Manufacturing Systems.
