Advanced Topics in Inverse Data Envelopment Analysis
| AUTHOR | Soltanifar, Mehd; Lotfi, Farhad Hosseinzadeh; Ghiyasi, Mojtaba et al. |
| PUBLISHER | Academic Press (07/25/2025) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
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 Data 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.
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Product Format
Product Details
ISBN-13:
9780443364884
ISBN-10:
0443364885
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
328
Carton Quantity:
24
Product Dimensions:
6.00 x 0.60 x 9.00 inches
Weight:
1.10 pound(s)
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Information Technology
Computers | Management Information Systems
Computers | Data Science - General
Descriptions, Reviews, Etc.
publisher marketing
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 Data 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.
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Your Price
$222.75
