9780443364884 - advanced topics in inverse data envelopment analysis: approaches for handling ratio data (uncertainty, computational techniques, and decision intelligence) von soltanifar phd, mehdi; ghiyasi phd, mojtaba; lotfi phd, farhad hosseinzadeh; shahriari phd, mohammadreza (3 Ergebnisse)
Advanced Topics in Inverse Data Envelopment Analysis: Approaches for Handling Ratio Data (Uncertainty, Computational Techniques, and Decision Intelligence)
Soltanifar PhD, Mehdi; Ghiyasi PhD, Mojtaba; Lotfi PhD, Farhad Hosseinzadeh; Shahriari PhD, Mohammadreza
- Softcover
Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books
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EUR 207,30
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Zustand: New.
Advanced Topics in Inverse Data Envelopment Analysis
Mehdi Soltanifar|Mojtaba Ghiyasi|Farhad Hosseinzadeh Lotfi|Mohammadreza Shahriari
- Softcover
Anbieter: moluna, Greven, Deutschlandmoluna
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EUR 250,99
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Zustand: New. Offers an in-depth exploration of Inverse DEA-R models, making it an invaluable resource for researchers seeking to understand and apply these advanced techniquesIncludes numerous practical examples and case studies across different industr.
Sprache: Englisch
Verlag: Elsevier Science & Technology, Academic Press Jan 1900, 1900
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 348,00
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Taschenbuch. Zustand: Neu. Neuware - Advanced Topics in Inverse Data Envelopment Analysis: Approaches for Handling Ratio Data explores and tackles the most significant challenges encountered by researchers and practitioners in decision analysis and performance evaluation. This book delves into the sophisticated realm of Ratio Da…ta Envelopment Analysis (DEA-R), offering a thorough examination of advanced methodologies, practical examples, and insights into managing complex problems involving both non-negative and negative data. Filling crucial gaps in existing literature, this comprehensive resource focuses on the emerging field of Inverse DEA-R, equipping readers with the necessary tools and knowledge to address a wide range of challenging data types. This book serves as an essential guide for making informed and efficient decisions, guiding researchers and graduate students in computer science, applied mathematics, industrial engineering, and finance, navigating the complexities of decision analysis in today's data-driven world.
