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Sinopsis
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.
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Acerca del autor
Ali Emrouznejad is a Professor of Business Analytics at Aston Business School, UK. His areas of research interest include performance measurement and management, efficiency and productivity analysis as well as data mining. Dr Emrouznejad is Editor/ Associate Editor in several journals in Decision Sciences. He has published over 110 articles and authored/edited several books.
William Ho is a senior lecturer in the Department of Management and Marketing at the University of Melbourne, Australia. William’s research interests include strategic sourcing and supplier performance management, supply chain risk management, and sustainable supply chain management. He has published over 50 articles in international peer-reviewed journals, and two authored books.
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Emrouznejad, A: Fuzzy Analytic Hierarchy Process
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Ali Emrouznejad is a Professor of Business Analytics at Aston Business School, UK. His areas of research interest include performance measurement and management, efficiency and productivity analysis as well as data mining. Dr Emrouznejad. Nº de ref. del artículo: 596130459
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