The DOI matches its Crossref record.
Procedures for synthesizing ratio judgements
Overview
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Citations
Cited by
The analytic hierarchy process—what it is and how it is used
Saaty, R. W. (1987) · Mathematical Modelling · doi:10.1016/0270-0255(87)90473-8 · Cited by 5,380
Saaty, T. L. (2013) · Operations Research · doi:10.1287/opre.2013.1197 · Cited by 508
Self-citationOn the extraction of weights from pairwise comparison matrices
Dijkstra, T. K. (2013) · Central European Journal of Operations Research · doi:10.1007/s10100-011-0212-9 · Cited by 93
Metadata
- Authors
- Aczél, J., & Saaty, T. L.
- Venue
- Journal of Mathematical Psychology
- Publisher
- Elsevier BV
- Published
- 1983-03
- Volume
- 27
- Issue
- 1
- Pages
- 93-102
- ISSN
- 0022-2496 (ISSN-L)
- OpenAlex
- W1988442031
- Cited by
- 840
- References
- 0
- FWCI
- 7.68
- 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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Procedures for synthesizing ratio judgements. https://app.cochat.ai/papers/10.1016/0022-2496(83)90028-7
- The paper
- Aczél, J., & Saaty, T. L. (1983). Procedures for synthesizing ratio judgements. Journal of Mathematical Psychology. https://doi.org/10.1016/0022-2496(83)90028-7
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.
