Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis by Farhad Hosseinzadeh Lotfi
The combination of DEA and ratio analysis is introduced as a suitable field for evaluating the performance of DMUs. In this regard, DEA-R is also proposed as a hybrid technique for calculating efficiency, ranking DMUs, and finding efficient faces. Therefore, the relationship between DEA and DEA-R provides a suitable field for researchers in the field of evaluating the performance of DMUs. The audience of this book is not limited to researchers in mathematics fields, but experts and students in industrial engineering and management fields also benefit from the topics of this book.-
Foundations of Machine Learning and AI
-
Advances in Next-Generation Networking for Cyber-Physical System: TCP, SDN, and Emerging Technologies
-
Digitalization
-
Innovations in Data Science and Analytics
-
Blockchain Innovations for a Sustainable Circular Economy
-
AI Intervention in Digital and Social Marketing
-
Intelligent Governance in the Big Data Era
-
Computational and Data-Driven Approaches in Pharmaceutical Sciences: From Molecular Modelling to Evidence-Based Therapeutics
-
Data Science in Finance and Accounting
-
Cyber Security
-
Internet of Things for Healthcare Technologies
-
New Paradigm of Industry 4.0
-
Blockchain and Deep Learning
-
Cyber and Digital Forensic Investigations
-
Handbook of Machine Learning Applications for Genomics
-
Fog Data Analytics for IoT Applications
-
The Future of Metaverse in the Virtual Era and Physical World
-
Machine Learning for Adaptive Many-Core Machines - A Practical Approach
-
Big Data and Blockchain for Service Operations Management
-
The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning
-
Concepts and Methods for a Librarian of the Web
-
Blockchain and its Applications in Industry 4.0
-
Deep Learning Through the Prism of Tensors
-
Internet of Things and Analytics for Agriculture, Volume 3
-
Environmental Modeling Using Satellite Imaging and Dataset Re-processing
-
The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations
-
Recommender System for Improving Customer Loyalty
-
Evolutionary Decision Trees in Large-Scale Data Mining
-
Supply Chain Performance Evaluation
-
The Autonomous Web
-
Total Journalism
-
Big Data in Information Society and Digital Economy
-
Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
-
Text Mining
-
Information Retrieval and Natural Language Processing
Tofigh Allahviranloo is a Senior Full Professor of Applied Mathematics at Bahcesehir International University (BAU). As a mathematician and computer scientist, Tofigh has developed a passion for multi- and interdisciplinary research. He not only pursues fundamental research in fuzzy applied mathematics, especially fuzzy differential equations, but also develops innovative applications in the applied biological sciences. He is a prolific author, with a bibliography comprising over 200 peer-reviewed journal papers, 11 books in Farsi, 3 book chapters, and 20 contributions to conference proceedings, accumulating close to 6000 Google Scholar citations (h-index 40). Tofigh actively serves the research community, in particular as editor-in-chief of the International Journal of Industrial Mathematics and as a member of the editorial board of several other journals, including Fuzzy Sets and Systems, the Journal of Intelligent and Fuzzy Systems, and Mathematical Science.
| SKU | Unavailable |
| ISBN 13 | 9783031431838 |
| Title | Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis |
| Author | Farhad Hosseinzadeh Lotfi |
| Series | Studies In Big Data |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer International Publishing AG |
| Year published | 2024-10-03 |
| Number of pages | 180 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |