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Uncertainty in Data Envelopment Analysis: Fuzzy and Belief Degree-Based Uncertainties (Uncertainty, Computational Techniques, and Decision Intelligence)
Farhad Hosseinzadeh Lotfi; Masoud Sanei; Ali Asghar Hosseinzadeh; Sadegh Niroomand; Ali Mahmoodirad (Author)
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Academic Press
· Paperback
Uncertainty in Data Envelopment Analysis: Fuzzy and Belief Degree-Based Uncertainties (Uncertainty, Computational Techniques, and Decision Intelligence) - Farhad Hosseinzadeh Lotfi; Masoud Sanei; Ali Asghar Hosseinzadeh; Sadegh Niroomand; Ali Mahmoodirad
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Synopsis "Uncertainty in Data Envelopment Analysis: Fuzzy and Belief Degree-Based Uncertainties (Uncertainty, Computational Techniques, and Decision Intelligence)"
Uncertainty in Data Envelopment Analysis: Fuzzy and Belief Degree-Based Uncertainties 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 inputs and outputs of systems and processes are volatile and complex, making measurement difficult. Classical data envelopment analysis (DEA) models use crisp data in order to measure inputs and outputs of a given system. Crisp input and output data are fundamentally indispensable in the conventional DEA models. If these models contain complex-uncertain data, then they will become more important and practical for decision-makers.
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The book is written in English.
The binding of this edition is Paperback.
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