The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Assessing water quality in rivers with fuzzy inference systems: A case study
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
Fuzzy Logic with Engineering Applications
Ross, T. J. (2010) · Wiley eBooks · doi:10.1002/9781119994374 · Cited by 6,597
Analytic hierarchy process: An overview of applications
Vaidya, O. S., & Kumar, S. (2006) · European Journal of Operational Research · doi:10.1016/j.ejor.2004.04.028 · Cited by 3,800
Fuzzy logic = computing with words
Zadeh, L. A. (1996) · IEEE Transactions on Fuzzy Systems · doi:10.1109/91.493904 · Cited by 3,227
Decision-making with the AHP: Why is the principal eigenvector necessary
Saaty, T. L. (2002) · European Journal of Operational Research · doi:10.1016/s0377-2217(02)00227-8 · Cited by 1,659
OREGON WATER QUALITY INDEX A TOOL FOR EVALUATING WATER QUALITY MANAGEMENT EFFECTIVENESS1
Cude, C. G. (2001) · JAWRA Journal of the American Water Resources Association · doi:10.1111/j.1752-1688.2001.tb05480.x · Cited by 708
A Generalized Water Quality Index for Taiwan
Liou, S.-M., Lo, S.-L., & Wang, S.-H. (2004) · Environmental Monitoring and Assessment · doi:10.1023/b:emas.0000031715.83752.a1 · Cited by 400
Identification of river water quality using the Fuzzy Synthetic Evaluation approach
Chang, N.-B., Chen, H. W., & Ning, S. K. (2001) · Journal of Environmental Management · doi:10.1006/jema.2001.0483 · Cited by 330
An Innovative Index for Evaluating Water Quality in Streams
Said, A., Stevens, D. K., & Sehlke, G. (2004) · Environmental Management · doi:10.1007/s00267-004-0210-y · Cited by 301
Fuzzy indices of environmental conditions
Silvert, W. (2000) · Ecological Modelling · doi:10.1016/s0304-3800(00)00204-0 · Cited by 278
Artificial intelligence in engineering
Pham, D. T., & Pham, P. T. N. (1999) · International Journal of Machine Tools and Manufacture · doi:10.1016/s0890-6955(98)00076-5 · Cited by 164
Cited by
A survey on river water quality modelling using artificial intelligence models: 2000–2020
Tiyasha, Tung, T. M., & Yaseen, Z. M. (2020) · Journal of Hydrology · doi:10.1016/j.jhydrol.2020.124670 · Cited by 650
Abbasi, T., & Abbasi, S. A. (2012) · Water Quality Indices · doi:10.1016/b978-0-444-54304-2.00016-6 · Cited by 346
Akhtar, N., Ishak, M. I. S., Ahmad, M. I., Umar, K., Md Yusuff, M. S., Anees, M. T., Qadir, A., & Ali Almanasir, Y. K. (2021) · Water · doi:10.3390/w13070905 · Cited by 322
Chhipi-Shrestha, G., Mian, H. R., Mohammadiun, S., Rodriguez, M., Hewage, K., & Sadiq, R. (2023) · Clean Technologies and Environmental Policy · doi:10.1007/s10098-023-02477-4 · Cited by 46
Intelligent monitoring for infectious diseases with fuzzy systems and edge computing: A survey
Jiang, Q., Zhou, X., Wang, R., Ding, W., Chu, Y., Tang, S., Jia, X., & Xu, X. (2022) · Applied Soft Computing · doi:10.1016/j.asoc.2022.108835 · Cited by 40
Metadata
- Authors
- Ocampo-Duque, W., Ferré-Huguet, N., Domingo, J. L., & Schuhmacher, M.
- Venue
- Environment International
- Publisher
- Elsevier BV
- Published
- 2006-08
- Volume
- 32
- Issue
- 6
- Pages
- 733-742
- ISSN
- 0160-4120 (ISSN-L)
- OpenAlex
- W2002054624
- Cited by
- 332
- References
- 16
- FWCI
- 11.32
- 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: Assessing water quality in rivers with fuzzy inference systems: A case study. https://app.cochat.ai/papers/10.1016/j.envint.2006.03.009
- The paper
- Ocampo-Duque, W., Ferré-Huguet, N., Domingo, J. L., & Schuhmacher, M. (2006). Assessing water quality in rivers with fuzzy inference systems: A case study. Environment International. https://doi.org/10.1016/j.envint.2006.03.009
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.
