{pdf download} Advanced Topics in Inverse Data

Advanced Topics in Inverse Data Envelopment Analysis: Approaches for Handling Ratio Data by Mehdi Soltanifar PhD, Mojtaba Ghiyasi PhD, Farhad Hosseinzadeh Lotfi PhD, Mohammadreza Shahriari PhD

Free download of audio books online Advanced Topics in Inverse Data Envelopment Analysis: Approaches for Handling Ratio Data  by Mehdi Soltanifar PhD, Mojtaba Ghiyasi PhD, Farhad Hosseinzadeh Lotfi PhD, Mohammadreza Shahriari PhD (English literature)

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  • Advanced Topics in Inverse Data Envelopment Analysis: Approaches for Handling Ratio Data
  • Mehdi Soltanifar PhD, Mojtaba Ghiyasi PhD, Farhad Hosseinzadeh Lotfi PhD, Mohammadreza Shahriari PhD
  • Page: 328
  • Format: pdf, ePub, mobi, fb2
  • ISBN: 9780443364884
  • Publisher: Elsevier Science

Download Advanced Topics in Inverse Data Envelopment Analysis: Approaches for Handling Ratio Data




Free download of audio books online Advanced Topics in Inverse Data Envelopment Analysis: Approaches for Handling Ratio Data by Mehdi Soltanifar PhD, Mojtaba Ghiyasi PhD, Farhad Hosseinzadeh Lotfi PhD, Mohammadreza Shahriari PhD (English literature)

Overview

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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