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Fuzzy Analytic Hierarchy Process [Pehme köide]

(Professor and Chair in Business Analytics, Aston Business School, Aston University, Birmingham, UK), (Department of Management and Marketing, University of Melbourne, Australia)
  • Formaat: Paperback / softback, 408 pages, kõrgus x laius: 234x156 mm, kaal: 780 g
  • Ilmumisaeg: 30-Jun-2020
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-10: 0367572974
  • ISBN-13: 9780367572976
  • Formaat: Paperback / softback, 408 pages, kõrgus x laius: 234x156 mm, kaal: 780 g
  • Ilmumisaeg: 30-Jun-2020
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-10: 0367572974
  • ISBN-13: 9780367572976
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.
Preface



Editors



Contributors



1. Analytic Hierarchy Process and Fuzzy Set Theory

Ali Emrouznejad and William Ho



2. The State of the Art in FAHP in Risk Assessment

Peh Sang Ng, Joshua Ignatius, Mark Goh, Amirah Rahman, and Feng Zhang



3. Comparison of Methods in FAHP with Application in Supplier Selection

Nimet Yapici Pehlivan, Turan Paksoy, and Ahmet Calik



4. Data Mining Group Decision-Making with FAHP: An Application in Supplier
Evaluation and Segmentation

Mohammad Hasan Aghdaie



5. Group Decision-Making under Uncertainty: FAHP Using Intuitionistic and
Hesitant Fuzzy Sets

Cengiz Kahraman and Fatih Tuysuz



6. An Integrated TOPSIS and FAHP

Antonio Rodriguez



7. An Integrated Fuzzy Delphi-AHP-TOPSIS with an Application to Logistics
Service Quality Evaluation Using a Multistakeholder Multiperspective
Approach

Anjali Awasthi and Hassan Mukhtar



8. The Inclusion of Logical Interaction between Criteria in FAHP

Ksenija Mandi, Vjekoslav Bobar, and Boris Delibai



9. Interval Type-2 FAHP: A Multicriteria Wind Turbine Selection

Cengiz Kahraman, Baar Oztayi, and Sezi Cevik Onar



10. A Decision Support for Prioritizing Process Sustainability Tools Using
FAHP

Vinodh S and Vimal KEK



11. Use of FAHP for Occupational Safety Risk Assessment: An Application in
the Aluminum Extrusion Industry

Muhammet Gul and Ali Fuat Guneri



12. Assessing the Management of Electronic Scientific Journals Using Hybrid
FDELPHI and FAHP Methodology

Nara Medianeira Stefano, Raul Otto Laux, Nelson Casarotto Filho, Lizandra
Lupi Garcia Vergara, and Izabel Cristina Zattar



13. Applications of FAHP in Analysing Energy Systems

Sonal K. Thengane, Andrew Hoadley, Sankar Bhattacharya, Sagar Mitra, and
Santanu Bandyopadhyaye



14. FAHP-Based Decision Making Framework for Construction Projects

Long D. Nguyen and Dai Q. Tran



15. Plantation Land Segmentation for an Orchard Establishment Using FAHP

Theagarajan Padma, S. P. Shantharajah, and Shabir Ahmad Mir



16. Developing a Decision on the Type of Prostate Cancer Using FAHP

Lazim Abdullah



17. Assessing Environmental Actions in the Natura 2000 Network Areas Using
FAHP

J. M. Sanchez-Lozano and J. A. Bernal-Conesa



Index
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. Williams 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.