The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
TOPSIS for MODM
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
Multiple Objective Decision Making — Methods and Applications
Hwang, C.-L., & Masud, A. S. M. (1979) · Lecture Notes in Economics and Mathematical Systems · doi:10.1007/978-3-642-45511-7 · Cited by 1,186
Self-citation
Cited by
Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment
Wang, Y.-M., & Elhag, T. M. S. (2006) · Expert Systems with Applications · doi:10.1016/j.eswa.2005.09.040 · Cited by 895
A bibliometric-based survey on AHP and TOPSIS techniques
Zyoud, S. H., & Fuchs-Hanusch, D. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.02.016 · Cited by 492
The interval-valued fuzzy TOPSIS method and experimental analysis
Chen, T.-Y., & Tsao, C.-Y. (2008) · Fuzzy Sets and Systems · doi:10.1016/j.fss.2007.11.004 · Cited by 409
Weight determination for consistently ranking alternatives in multiple criteria decision analysis
Kao, C. (2010) · Applied Mathematical Modelling · doi:10.1016/j.apm.2009.09.022 · Cited by 190
Drone selection using multi-criteria decision-making methods
Sohaib Khan, M., Ali Shah, S. I., Javed, A., Mumtaz Qadri, N., & Hussain, N. (2021) · 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST) · doi:10.1109/ibcast51254.2021.9393291 · Cited by 20
Metadata
- Authors
- Lai, Y.-J., Liu, T.-Y., & Hwang, C.-L.
- Venue
- European Journal of Operational Research
- Publisher
- Elsevier BV
- Published
- 1994-08
- Volume
- 76
- Issue
- 3
- Pages
- 486-500
- ISSN
- 0377-2217 (ISSN-L)
- OpenAlex
- W1986813400
- Cited by
- 1,086
- References
- 1
- FWCI
- 3.25
- 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: TOPSIS for MODM. https://app.cochat.ai/papers/10.1016/0377-2217(94)90282-8
- The paper
- Lai, Y.-J., Liu, T.-Y., & Hwang, C.-L. (1994). TOPSIS for MODM. European Journal of Operational Research. https://doi.org/10.1016/0377-2217(94)90282-8
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.