The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Fuzzy decision making: A bibliometric-based review
Open accessAbstract
Fuzzy decision-making consists in making decisions under complex and uncertain environments where the information can be assessed with fuzzy sets and systems. The aim of this study is to review the main contributions in this field by using a bibliometric approach. For doing so, the article uses a wide range of bibliometric indicators including the citations and the h -index. Moreover, it also uses the VOS viewer software in order to map the main trends in this area. The work considers the leading journals, articles, authors and institutions. The results indicate that the USA was the traditional leader in this field with the most significant researcher. However, during the last years, this field is receiving more attention by Asian authors that are starting to lead the field. This discipline has a strong potential and the expectations for the future is that it will continue to grow.
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
Atanassov, K. T. (1986) · Fuzzy Sets and Systems · doi:10.1016/s0165-0114(86)80034-3 · Cited by 16,465
The Concept of a Linguistic Variable and Its Application to Approximate Reasoning—II
Zadeh, L. A. (1975) · Information Sciences · doi:10.1016/0020-0255(75)90046-8 · Cited by 2,555
Cited by
Knowledge management: A global examination based on bibliometric analysis
Gaviria-Marin, M., Merigó, J. M., & Baier-Fuentes, H. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.07.006 · Cited by 560
Self-citationSreenivasan, A., & Suresh, M. (2023) · Green Technologies and Sustainability · doi:10.1016/j.grets.2023.100038 · Cited by 64
Metadata
- Authors
- Blanco-Mesa, F., Merigó, J. M., & Gil-Lafuente, A. M.
- Venue
- Journal of Intelligent & Fuzzy Systems
- Publisher
- SAGE Publications
- Published
- 2017-02-24
- Volume
- 32
- Issue
- 3
- Pages
- 2033-2050
- ISSN
- 1064-1246 (ISSN-L)
- 1875-8967
- OpenAlex
- W2592542840
- Cited by
- 362
- References
- 2
- FWCI
- 41.40
- Type
- journal article
- Language
- en
- Open access
- green
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 decision making: A bibliometric-based review. https://app.cochat.ai/papers/10.3233/jifs-161640
- The paper
- Blanco-Mesa, F., Merigó, J. M., & Gil-Lafuente, A. M. (2017). Fuzzy decision making: A bibliometric-based review. Journal of Intelligent & Fuzzy Systems. https://doi.org/10.3233/jifs-161640
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.