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eISSN: 2083-5906
ISSN: 1230-1485
ISSN: 1230-1485
ORIGINAL RESEARCH
Improved Recognition Method of Fuzzy
Attribute Interval and Its Application
in Risk Assessment of Debris Flow
1
Geological Hazards Prevention Institute, Gansu Academy of Sciences, Lanzhou 730000, China
2
State Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University,
Chongqing 400074, China
3
School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China
4
School of Civil Engineering, Yangtze Normal University, Chongqing 408100, China
Submission date: 2024-09-05
Final revision date: 2025-02-14
Acceptance date: 2025-02-22
Online publication date: 2025-04-16
Publication date: 2026-04-21
Corresponding author
Sheng Wang
State Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing 400074, China
State Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing 400074, China
Pol. J. Environ. Stud. 2026;35(2):2929-2941
KEYWORDS
debris flowrisk assessmentevaluation index systemattribute interval recognition modeltriangular fuzzy number
TOPICS
ABSTRACT
Debris flow is one of the most frequent and harmful natural disasters globally. Risk assessment
is a crucial approach for predicting the risk level and potential consequences associated with debris flow.
This study aims to develop a method for the risk recognition of fuzzy attribute interval that provides
a scientific basis for the early control and prevention of debris flow disasters. The main factors affecting
the occurrence of debris flow disasters are analyzed, then the risk assessment indices of debris
flow gully and their grading criteria are presented. Giving the complexity of geological conditions
and the uncertainty of factor values, a triangular fuzzy number including the lower limit,
the most probable number, and the upper limit is introduced to quantify each evaluation index.
The corresponding nonlinearly single-index attribute measure functions, stochastic combination method
of multi-index attribute measure based on the single-index measure interval, and risk recognition analysis
method are reconstructed. Fuzzy theory and the analytic hierarchy process are employed to establish
a weighting method for the debris flow evaluation index. This method is used to evaluate the risk of
ten typical debris flow gullies in the Longnan region. The results indicate that the method is in perfect
accordance with the practical situations. Therefore, the recognition method of fuzzy attribute interval
risk has better applicability, higher accuracy, and clearer risk grading discrimination, which has good
prospects for further risk assessment of debris flow gullies.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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| eISSN: | 2083-5906 |
| ISSN: | 1230-1485 |
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