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. - Offers an in-depth exploration of Inverse DEA-R models, making it an invaluable resource for researchers seeking to understand and apply these advanced techniques - Includes numerous practical examples and case studies across different industries demonstrating how Inverse DEA-R can be applied to real-world scenarios - Highlights potential areas for further research and development within Inverse DEA-R, encouraging readers to explore new avenues and contribute to the advancement of the field

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.

No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.

Perlego offers two plans: Essential and Complete

Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.

Both plans are available with monthly, semester, or annual billing cycles.

We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.

Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.

Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.

Yes, you can access Advanced Topics in Inverse Data Envelopment Analysis by Mehdi Soltanifar,Mojtaba Ghiyasi,Farhad Hosseinzadeh Lotfi,Mohammadreza Shahriari in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Academic Press

Year

2025

eBook ISBN

9780443364891

Edition

Topic

Computer Science

Subtopic

Computer Science General

Index

Computer Science

Title of Book
About this book
Chapter one Managerial concepts and practical motivations
Chapter two Introduction to data envelopment analysis
Chapter three Data envelopment analysis models in the presence of negative data
Chapter four Data envelopment analysis models for ratio data
Chapter five Introduction to inverse data envelopment analysis models
Chapter six Modelling mergers and acquisitions using inverse data envelopment analysis
Chapter seven Inverse ratio-based data envelopment analysis models for input and output estimation
Chapter eight Inverse ratio-based data envelopment analysis models for input and output estimation in the presence of negative data
Chapter nine Inverse data envelopment analysis for ratio data models for mergers and acquisitions
Chapter ten Inverse ratio-based data envelopment analysis models for mergers and acquisitions in the presence of negative data
Index

About this book

Frequently asked questions

Information

Table of contents