Emrouznejad / Ho Fuzzy Analytic Hierarchy Process

1. Auflage 2017
ISBN: 978-1-4987-3248-2
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 430 Seiten

This book is the first in the literature and presents the state of the art in new developments and some interesting and relevant applications of the Fuzzy Analytical Hierarchy Process (FAHP).The AHP were introduced in the 1970s as a conceptually and mathematically simple, easily implementable, yet extremely powerful tool for group decision making and is used around the world in a wide variety of decision situations, such as government, business, industry, healthcare, and education. The aim of this book is to study various fuzzy methods for dealing with the imprecise and ambiguous data in AHP.

Autoren/Hrsg.

Emrouznejad, Ali

Ho, William

Fachgebiete

• Mathematik | Informatik Mathematik Operations Research
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik Mathematik Stochastik Bayesianische Inferenz

Inhaltsverzeichnis

Chapter 1: The state of the art in fuzzy analytical hierarchy process: A taxonomy and review. Chapter 2: Fuzzy analytical hierarchy process: recent development and challenges. Chapter 3: Comparison of methods in fuzzy AHP with application in supplier selection. Chapter 4: Big data and group decision making with fuzzy AHP. Chapter 5: Group decision making under uncertainty: an application of fuzzy AHP. Chapter 6: A goal programming method for solving group decision making with fuzzy AHP. Chapter 7: An integrated TOPSIS and fuzzy AHP. Chapter 8: An integrated fuzzy AHP and data envelopment analysis for measuring efficiency of decision making units. Chapter 9: An integrated fuzzy AHP and quality function deployment (QFD) for strategic logistics outsourcing. Chapter 10: A decision support system for group decision making through integration of fuzzy AHP and artificial neural network. Chapter 11: A web-based decision support system for multi-criteria decision making using fuzzy AHP. Chapter 12 to Chapter 18: Various applications of fuzzy AHP are presented in each short chapter. Bibliography