Research and Application of AHP-Fuzzy Comprehensive Evaluation Model
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Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In MLER evaluation, the Vague sets method outperforms the AHP-fuzzy comprehensive evaluation method in terms of fuzzy information expression, boundary treatment, and multi-level classification compatibility.
“Further comparative analysis reveals that, in MLER evaluation, the Vague sets method outperforms the AHP-fuzzy comprehensive evaluation method [51] in terms of fuzzy information expression, boundary treatment, and multi-level classification compatibility.”
From Evaluation of Mine Land Ecological Resilience: Application of the Vague Sets Model Under the Nature-Based Solutions Framework (2025) · cites this paper as [51]
Cited by
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Feng, L., Xie, J., & Ke, Y. (2025) · Sustainability · doi:10.3390/su18010164 · Cited by 1 · see citing works
- Authors
- Zhu, L.
- Affiliations
- Wuxi Taihu University (CN)
- Corresponding author
- Zhu, Lingyan
- Venue
- Evolutionary Intelligence
- Published
- 2020-04-30
- Volume
- 15
- Issue
- 4
- Pages
- 2403-2409
- ISSN
- 1864-5909 (ISSN-L)
- 1864-5917
- OpenAlex
- W3023490148
- Cited by
- 76
- References
- 0
- Citations by year
- 2026: 15 · 2025: 21 · 2024: 21 · 2023: 10 · 2022: 5 · 2021: 2 · 2020: 2
- FWCI
- 8.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Evolutionary Intelligence (publishedVersion)
- Funders
- Research project on philosophy and social science of Jiangsu universities: Coordination and Study of Low-carbon Supply Chain Contract Based on Carbon Emission Right Trading (2017SJB0911)
- Key construction center for philosophy and social science of Jiangsu universities: Research Center for Industrial Transformation, Innovation and Development in South Jiangsu (2018ZDJA-B008)
- Topics
- Physical Sciences › Environmental Science › Ecological Modeling › Evaluation Methods in Various Fields
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Evaluation and Optimization Models
- Keywords
- analytic hierarchy process, fuzzy comprehensive evaluation, multi-criteria decision making, consistency test, sensitivity analysis, membership degree
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.
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