Printed from https://ideas.repec.org/b/spr/lnoprs/978-3-030-89795-6.html
Advances in Best-Worst Method
Editor
Listed:
- Jafar Rezaei(Delft University of Technology)Matteo Brunelli(University of Trento)Majid Mohammadi(Vrije Universiteit Amsterdam)
Abstract
No abstract is available for this item.Individual chapters are listed in the "Chapters" tab
Suggested Citation
- Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), 2022. "Advances in Best-Worst Method," Lecture Notes in Operations Research, Springer, number 978-3-030-89795-6, October.
Handle: RePEc:spr:lnoprs:978-3-030-89795-6
DOI: 10.1007/978-3-030-89795-6
Download full text from publisher
To our knowledge, this item is not available for download. To find whether it is available, there are three options:1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Book Chapters
The following chapters of this book are listed in IDEAS- Jafar Rezaei, 2022. "The Balancing Role of Best and Worst in Best-Worst Method," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 1-15, Springer.
- Majid Mohammadi & Jafar Rezaei, 2022. "Hierarchical Evaluation of Criteria and Alternatives Within BWM: A Monte Carlo Approach," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 16-28, Springer.
- Saeed Najafi-Zangeneh & Naser Shams-Gharneh & Ali Arjomandi-Nezhad, 2022. "A Two-Step Best-Worst Method (BWM) and K-Means Clustering Recommender System Framework," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 29-40, Springer.
- Álvaro Labella & Bapi Dutta & Rosa M. Rodríguez & Luis Martínez, 2022. "A Linguistic 2-tuple Best-Worst Method," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 41-51, Springer.
- Negin Salimi, 2022. "How Does the Entrepreneurship Ecosystem Contribute to the Performance of Entrepreneurial Start-Up Firms?," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 52-66, Springer.
- Ramazan Alkan & Melih Yucesan & Muhammet Gul, 2022. "A Multi-attribute Decision-Making to Sustainable Construction Material Selection: A Bayesian BWM-SAW Hybrid Model," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 67-78, Springer.
- Liwei Duan & Diejie Fu & Kaiping Zhang & Zhen Li, 2022. "Risk Assessment of Passenger Flow in an Urban Rail Transit System: Indicators, Application, and Analysis," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 79-94, Springer.
- Md Saiful Arif Khan & Golam Kabir & Muntasir Billah & Subhrajit Dutta, 2022. "Bridge Infrastructure Resilience Analysis Against Seismic Hazard Using Best-Worst Methods," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 95-109, Springer.
- Nicole Schutte & Lori Tavasszy & Alessandro Bombelli & Jafar Rezaei, 2022. "A Value-Focused Approach for the Design of Innovative Logistics Concepts: The Case of Off-Peak Pickup and Delivery in the Air Cargo Industry," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 110-129, Springer.
- Ezgi Topuz & Özge Coşkun & Yiğit Tütek & Özgün Çakır & Gül Tekin Temur & Çağlar Sivri, 2022. "An Innovative Digital Maturity Assessment Model for Smart Cities," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 130-143, Springer.
- Zahra Asadipour Abkenar & Hamidreza Fallah Lajimi & Mahdie Hamedi & Sahar Valipour Parkouhi, 2022. "Determining the Importance of Barriers to IoT Implementation Using Bayesian Best-Worst Method," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 144-159, Springer.
- Fadara Taiwo Gbolarumi & Kuan Yew Wong, 2022. "Assessment of Environmental Performance Criteria in Textile Industry Using the Best-Worst Method," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 160-174, Springer.
- Iman Ghasemian Sahebi & Seyed Pendar Toufighi & Alireza Arab, 2022. "A Bayesian BWM-Based Approach for Evaluating Sustainability Measurement Attributes in the Steel Industry," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 175-193, Springer.
- Monasib Ahmed Romel & Golam Kabir & Syed Mithun Ali & Kelvin Tsun Wai Ng, 2022. "Identification of Critical Barriers for E-Waste Management in an Evolving Economy Using Best Worst Method," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 194-208, Springer.
- Jalil Heidary Dahooie & Haniyeh Habibollahi & Ali Reza Qorbani, 2022. "Identifying and Prioritizing Barriers of Industry 4.0 Adoption, Using Fuzzy Delphi and Group ZBWM: A Case Study in an Emerging Economy," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 209-227, Springer.
- Gülin Zeynep Öztaş & Aybars Bars & Volkan Genç & Sabri Erdem, 2022. "Criteria Assessment for Covid-19 Vaccine Selection via BWM," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 228-237, Springer.
- Totakura Bangar Raju & Vikas Kumar & Syed Aqib Jalil & Senthilkumar Sivakumar, 2022. "Ranking of Factors Affecting Covid-19 Vaccine Distribution Using BWM Method," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 238-251, Springer.
- Moein Khazaei & Mohammad Ramezani & Amin Padash & Dorien DeTombe, 2022. "The Quantification Role of BWM in Problem Structuring Methods: SYRCS Methodology," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 252-271, Springer.
- Mohammad Ramezani & Adel Azar & Moein Khazaei, 2022. "Gap Analysis Through a Hybrid Method: Critical Systems Heuristics and Best Worst Method," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 272-286, Springer.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:lnoprs:978-3-030-89795-6. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.