Work

Improved Recognition Method of Fuzzy Attribute Interval and Its Application in Risk Assessment of Debris Flow

Year: 2025

Type: article

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.

Source: Polish Journal of Environmental Studies

DOI: 10.15244/pjoes/202197