154,95 €
154,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
77 °P sammeln
154,95 €
154,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
77 °P sammeln
Als Download kaufen
154,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
77 °P sammeln
Jetzt verschenken
154,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
77 °P sammeln
  • Format: ePub

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…mehr

  • Geräte: eReader
  • ohne Kopierschutz
  • eBook Hilfe
  • Größe: 20.45MB
Produktbeschreibung
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

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Mehdi Soltanifar is an associate professor of Applied Mathematics and Operations Research. He earned his PhD from the Science and Research Branch of the Islamic Azad University (IAU), his MSc from Tehran University, and his B.S. from Birjand University. In 2008, Soltanifar joined the IAU Semnan Branch as a faculty member. His research interests encompass operations research, network flows, Multiple Attribute Decision Analysis (MADA), Data Envelopment Analysis (DEA), Analytical Hierarchy Process (AHP), and fuzzy linear programming. He currently serves as a faculty member in the Department of Mathematics at the Semnan Branch of the Islamic Azad University in Semnan, Iran.