Uncertainty in Data Envelopment Analysis: Fuzzy and Belief Degree-Based Uncertainties
Language: English
Published by Elsevier Science, 2023
- Softcover
- New
Condition: New
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Introduces methods to deal with uncertain data in DEA models, as a source of information and a reference book for researchers and engineers Presents DEA models that can be used for evaluating the outputs of many reallife systems in social .
Seller Inventory # 607782778
- Title
- Uncertainty in Data Envelopment Analysis: Fuzzy and Belief Degree-Based Uncertainties
- Author
- Farhad Hosseinzadeh Lotfi|Masoud Sanei|Ali Asghar Hosseinzadeh|Sadegh Niroomand|Ali Mahmoodirad
- Publisher
- Elsevier Science
- Publication year
- 2023
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 032399444X
- ISBN 13
- 9780323994446
Uncertainty in Data Envelopment Analysis introduces methods to investigate uncertain data in DEA models, providing a deeper look into two types of uncertain DEA methods, fuzzy DEA and belief degree-based uncertainty DEA, which are based on uncertain measures. These models aim to solve problems encountered by classical data analysis in cases where the inputs and outputs of systems and processes are volatile and complex, making measurement difficult.
- Introduces methods to deal with uncertain data in DEA models, as a source of information and a reference book for researchers and engineers
- Presents DEA models that can be used for evaluating the outputs of many reallife systems in social and engineering subjects
- Provides fresh DEA models for efficiency evaluation from the perspective of imprecise data
- Applies the fuzzy set and uncertainty theories to DEA to produce a new method of dealing with the empirical data
"Synopsis" may belong to another edition of this title.
About the Author
Masoud Sanei is an Associate Professor at the Department of Applied Mathematics, Islamic Azad University, Central Tehran Branch, in Iran. His research interests are in the areas of operation research such as Data Envelopment Analysis, Uncertainty Theory, and Supply Chain Management. He has several papers in journals and conference proceedings.
Ali Asghar Hosseinzadeh is an Assistant Professor of Applied Mathematics in the Lahijan branch of Islamic Azad University, in Iran. His research interests include Fuzzy Mathematical Programming, Data Envelopment Analysis, and Uncertainty Theory. He has published research articles in international journals of Mathematics and Industrial Engineering.
Sadegh Niroomand is an Associate Professor of Industrial Engineering in Firouzabad Institute of Higher Education, in Iran. He received his PhD degree in Industrial Engineering from Eastern Mediterranean University. His research interests are Operations Research, Fuzzy Theory, Exact and Meta-heuristic Solution Approaches.
Ali Mahmoodirad is an Associate Professor of Applied Mathematics in Masjed-Sleiman branch of Islamic Azad University in Iran. His research interests include Fuzzy Mathematical Programming, Supply Chain Management, and Uncertainty Theory. He has published research articles in international journals of Mathematics and industrial engineering.
"About the title" may belong to another edition of this title.
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