Advances in Best-Worst Method
Editor
- Jafar Rezaei(Delft University of Technology)Matteo Brunelli(University of Trento)Majid Mohammadi(Vrije Universiteit Amsterdam (VU 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.), 2023. "Advances in Best-Worst Method," Lecture Notes in Operations Research, Springer, number 978-3-031-24816-0, October.
Handle: RePEc:spr:lnoprs:978-3-031-24816-0
DOI: 10.1007/978-3-031-24816-0
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- Pelin Gulum Tas, 2023. "An Overview of the Applications of BWM in Health," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 1-18, Springer.
- İbrahim Miraç Eligüzel & Eren Özceylan, 2023. "A State-of the-Art Survey of Best-Worst Method Applications for the Problems Related to COVID-19," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 19-32, Springer.
- Matteo Brunelli, 2023. "Why Should Not a Decision Analyst be Content with Only ( $$n-1$$ n - 1 ) Pairwise Comparisons? Echoes from the Literature," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 33-40, Springer.
- Majid Mohammadi & Jafar Rezaei, 2023. "Identifying Relative Marginal Value Functions for Ranking," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 41-47, Springer.
- Álvaro Labella & Diego García-Zamora & Rosa M. Rodríguez & Luis Martínez, 2023. "A Consensus-Based Best-Worst Method for Multi-criteria Group Decision-Making," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 48-58, Springer.
- Nastaran Goldani & Mostafa Kazemi, 2023. "A Fuzzy Best-Worst Method Based on the Fuzzy Interval Scale," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 59-73, Springer.
- Georgios Athanasiou, 2023. "Integrating Sustainable Goals in Transmission System Operators’ Projects," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 74-86, Springer.
- Zekeriya Konurhan & Melih Yucesan & Muhammet Gul, 2023. "A GIS-Based BWM Approach for the Location Selection of Solar Power Plant in Tunceli Province (Turkey)," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 87-102, Springer.
- Kevser Arman & Nilsen Kundakcı, 2023. "A Fuzzy Best Worst Method Based Prioritization of Solar Panel Selection Criteria," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 103-116, Springer.
- Vishwas Dohale & Milind Akarte & Priyanka Verma, 2023. "Prioritizing Competitive Capabilities in Additive Manufacturing Systems Using Best-Worst Method," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 117-128, Springer.
- Georgios Boutris & Negin Salimi, 2023. "Identifying Impact of the Entrepreneurship Ecosystem on the Success of Entrepreneurial Start-Up Firms," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 129-145, Springer.
- Chandrashekhar Chaudhari & Vivek Khanzode & Rauf Iqbal & Vishwas Dohale, 2023. "Prioritizing the Distributor’s Key Performance Indicators and Constraints to Implement TOC-Based Solution for Outbound Supply Chain Network," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 146-160, Springer.
- Priya Ambilkar & Priyanka Verma & Debabrata Das, 2023. "Evaluating and Ranking the Supplier Selection Criteria for Additive Manufacturing Firms Using Best-Worst Method," Lecture Notes in Operations Research, in: Jafar Rezaei & Matteo Brunelli & Majid Mohammadi (ed.), Advances in Best-Worst Method, pages 161-175, 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:978-3-031-24816-0. 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.