The DOI matches its Crossref record; 138 of the 138 references it cites were found in a registry or an index.
Fuzzy Multicriteria Decision-Making: A Literature Review
Open accessAbstract
Multicriteria decision-making (MCDM) refers to making decisions in the presence of multiple and usually conflicting criteria.Fuzzy decision-making is used where vague and incomplete data exist for the solution.Fuzzy multicriteria decision-making is one of the most popular problems handled by the researchers in the literature.In this paper, we survey the latest status of fuzzy multicriteria decision-making methods and classify these methods dividing into two parts: fuzzy multiattribute decision-making (MADM) and fuzzy multiobjective decision-making (MODM).Most of the publications are on fuzzy MADM since there are a plenty of classical multiattribute decision-making methods in the literature.Tabular and graphical illustrations for each method are given.
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
Measuring the efficiency of decision making units
Charnes, A., Cooper, W. W., & Rhodes, E. (1978) · European Journal of Operational Research · doi:10.1016/0377-2217(78)90138-8 · Cited by 29,767
Atanassov, K. T. (1986) · Fuzzy Sets and Systems · doi:10.1016/s0165-0114(86)80034-3 · Cited by 16,465
The Analytic Hierarchy Process
SAATY, T. L., & KEARNS, K. P. (1985) · Analytical Planning · doi:10.1016/b978-0-08-032599-6.50008-8 · Cited by 15,357
The Concept of a Linguistic Variable and Its Application to Approximate Reasoning—I
Zadeh, L. A. (1975) · Information Sciences · doi:10.1016/0020-0255(75)90036-5 · Cited by 12,187
The concept of a linguistic variable and its application to approximate reasoning-III
Zadeh, L. A. (1975) · Information Sciences · doi:10.1016/0020-0255(75)90017-1 · Cited by 12,139
Multiple Attribute Decision Making
Hwang, C.-L., & Yoon, K. (1981) · Lecture Notes in Economics and Mathematical Systems · doi:10.1007/978-3-642-48318-9 · Cited by 8,526
Multiple Attribute Decision Making: Methods and Applications
Chen, S.-J. J., Hwang, C. L., Beckmann, M. J., & Krelle, W. E. (1981) · Medical Entomology and Zoology · Cited by 8,207
the delphi method: techniques and applications
Linstone, H. A., & Turoff, M. (1975) · Bibliothèque et Archives nationales du Québec (Québec government) · Cited by 5,231
Applications of the Extent Analysis Method on Fuzzy AHP
Chang, D.-Y. (1996) · European Journal of Operational Research · doi:10.1016/0377-2217(95)00300-2 · Cited by 4,874
Optimization by the Analytic Hierarchy Process
Saaty, T. L. (1979) · doi:10.21236/ada214804 · Cited by 4,466
Cited by
Spherical fuzzy sets and spherical fuzzy TOPSIS method
Kutlu Gündoğdu, F., & Kahraman, C. (2019) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-181401 · Cited by 965
Self-citationDeng, X., Liu, Q., Deng, Y., & Mahadevan, S. (2016) · Information Sciences · doi:10.1016/j.ins.2016.01.033 · Cited by 615
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
Zavadskas, E. K., Mardani, A., Turskis, Z., Jusoh, A., & Nor, K. M. (2016) · International Journal of Information Technology & Decision Making · doi:10.1142/s0219622016300019 · Cited by 485
Kaya, İ., Çolak, M., & Terzi, F. (2019) · Energy Strategy Reviews · doi:10.1016/j.esr.2019.03.003 · Cited by 365
Metadata
- Authors
- Kahraman, C., Onar, S. C., & Oztaysi, B.
- Venue
- International Journal of Computational Intelligence Systems
- Published
- 2015
- Volume
- 8
- Issue
- 4
- Pages
- 637
- ISSN
- 1875-6883 (ISSN-L)
- OpenAlex
- W2060986412
- Cited by
- 542
- References
- 138
- FWCI
- 56.95
- Type
- journal article
- Language
- en
- Open access
- gold
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: Fuzzy Multicriteria Decision-Making: A Literature Review. https://app.cochat.ai/papers/10.1080/18756891.2015.1046325
- The paper
- Kahraman, C., Onar, S. C., & Oztaysi, B. (2015). Fuzzy Multicriteria Decision-Making: A Literature Review. International Journal of Computational Intelligence Systems. https://doi.org/10.1080/18756891.2015.1046325
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.