The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Best-worst multi-criteria decision-making method
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
On the Theory of Scales of Measurement
Stevens, S. S. (1946) · Science · doi:10.1126/science.103.2684.677 · Cited by 4,761 · cited 1×
“For instance, underlying on ratio-scaling method [30,31], in the AHP, the weights are derived from pairwise comparisons of the criteria and the scores are derived from pairwise comparisons of the alternatives against the criteria, after which a similar function like (2) is used to calculate the overall value of altern…”
MethodElements of psychophysics, 1860.
Fechner, G. T. (1948) · Readings in the history of psychology. · doi:10.1037/11304-026 · Cited by 1,307
Cited by
A SWOT analysis of ChatGPT: Implications for educational practice and research
Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2024) · Innovations in Education and Teaching International · doi:10.1080/14703297.2023.2195846 · Cited by 1,384
Why manufacturers adopt additive manufacturing technologies: The role of sustainability
Niaki, M. K., Torabi, S. A., & Nonino, F. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.03.019 · Cited by 298
Ali, S. S., Kaur, R., & Khan, S. (2023) · Annals of Operations Research · doi:10.1007/s10479-021-04454-w · Cited by 154
Kumar, A., Mangla, S. K., Luthra, S., & Ishizaka, A. (2019) · Production Planning & Control · doi:10.1080/09537287.2018.1555342 · Cited by 135
Paramanik, A. R., Sarkar, S., & Sarkar, B. (2022) · Computers & Industrial Engineering · doi:10.1016/j.cie.2022.108138 · Cited by 128
Metadata
- Authors
- Rezaei, J.
- Venue
- Omega
- Publisher
- Elsevier BV
- Published
- 2015-06
- Volume
- 53
- Pages
- 49-57
- ISSN
- 0305-0483 (ISSN-L)
- OpenAlex
- W2033401964
- Cited by
- 4,333
- References
- 4
- FWCI
- 43.13
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Best-worst multi-criteria decision-making method. https://app.cochat.ai/papers/10.1016/j.omega.2014.11.009
- The paper
- Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega. https://doi.org/10.1016/j.omega.2014.11.009
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.