Fuzzy Analytic Hierarchy Process (Paperback)
 
作者: Ali Emrouznejad 
分類: Product design ,
Management & management techniques ,
Operational research ,
Probability & statistics ,
Bayesian inference ,
Engineering: general  
書城編號: 2572204


售價: $644.00

購買後立即進貨, 約需 18-25 天

 
 
出版社: CRC Press
出版日期: 2020/06/30
重量: 0.8 kg
ISBN: 9780367572976

商品簡介


This book is the first in the literature to present the state of the art and some interesting and relevant applications of the Fuzzy Analytic Hierarchy Process (FAHP). The AHP is 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, in fields 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.

Features:

  • First book available on FAHP.
  • Showcases state-of-the-art developments.
  • Contains several novel real-life applications.
  • Provides useful insights to both academics and practitioners in making group decisions under uncertainty

This book provides the necessary background to work with existing fuzzy AHP models. Once the material in this book has been mastered, the reader will be able to apply fuzzy AHP models to his or her problems for making decisions with imprecise data.

Ali Emrouznejad 作者作品表

Advances in the Theory and Applications of Performance Measurement and Management: Proceedings of Dea45 - International Conference on Data Envelopment

Business Analytics and Decision Making in Practice: Proceedings of the International Conference on Business Analytics in Practice (Icbap 2024), Sharja

Data Envelopment Analysis with Gams: A Handbook on Productivity Analysis and Performance Measurement (2023) (Hardcover)

Big Data and Blockchain for Service Operations Management (2022) (Paperback)

Fuzzy Analytic Hierarchy Process (Hardcover)

Big Data Optimization: Recent Developments and Challenges (Hardcover)

eBook: Big Data Optimization: Recent Developments and Challenges (DRM PDF)

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