A novel belief-degree-based uncertain Tchebycheff norm DEA model for the case study of risks prioritizing in e-business projects
Masoomeh Shahbazi, Hamidreza Taghizadeh Rajaei, Kazem Askarifar, Ali Mahmoodirad, Sadegh Niroomand · 2026
Read A novel belief-degree-based uncertain Tchebycheff norm DEA model for the case study of risks prioritizing in e-business projects by Masoomeh Shahbazi, Hamidreza Taghizadeh Rajaei, Kazem Askarifar, Ali Mahmoodirad, Sadegh Niroomand (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13265918.txt.
Description
Masoomeh Shahbazi and colleagues published a 2026 study ranking risks in e-business projects, where expert judgments are vague words rather than firm numbers. They converted expert ratings into belief-degree values that carry uncertainty. Then they extended a data envelopment analysis model, a method that scores units against the best performers, to handle those uncertain inputs for the first time.
The team weighed a full set of e-business risks against project success criteria in a case study, with sensitivity and comparison checks. Introducing new technology ranked as the most important risk, and cultural risk as the least. The authors argue the model gives project managers a defensible order for tackling risks when evidence is fuzzy. They present the method as a first for risk ranking under this kind of uncertainty.
Catalog record
| CREATOR | Masoomeh Shahbazi, Hamidreza Taghizadeh Rajaei, Kazem Askarifar, Ali Mahmoodirad, Sadegh Niroomand |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 55611 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |