Version 1
: Received: 21 August 2024 / Approved: 22 August 2024 / Online: 22 August 2024 (14:47:46 CEST)
How to cite:
Yang, Q.; Yan, F.; Cai, Y.; Luan, Y.; Yi, D.; Liu, H.; Dai, W.; Zou, Z. A hybrid Fuzzy Evaluation Method for Quantitative Risk Classification of Barrier Lake Based on an AHP Method Extended by D Numbers. Preprints2024, 2024081633. https://doi.org/10.20944/preprints202408.1633.v1
Yang, Q.; Yan, F.; Cai, Y.; Luan, Y.; Yi, D.; Liu, H.; Dai, W.; Zou, Z. A hybrid Fuzzy Evaluation Method for Quantitative Risk Classification of Barrier Lake Based on an AHP Method Extended by D Numbers. Preprints 2024, 2024081633. https://doi.org/10.20944/preprints202408.1633.v1
Yang, Q.; Yan, F.; Cai, Y.; Luan, Y.; Yi, D.; Liu, H.; Dai, W.; Zou, Z. A hybrid Fuzzy Evaluation Method for Quantitative Risk Classification of Barrier Lake Based on an AHP Method Extended by D Numbers. Preprints2024, 2024081633. https://doi.org/10.20944/preprints202408.1633.v1
APA Style
Yang, Q., Yan, F., Cai, Y., Luan, Y., Yi, D., Liu, H., Dai, W., & Zou, Z. (2024). A hybrid Fuzzy Evaluation Method for Quantitative Risk Classification of Barrier Lake Based on an AHP Method Extended by D Numbers. Preprints. https://doi.org/10.20944/preprints202408.1633.v1
Chicago/Turabian Style
Yang, Q., Wanli Dai and Zhongtian Zou. 2024 "A hybrid Fuzzy Evaluation Method for Quantitative Risk Classification of Barrier Lake Based on an AHP Method Extended by D Numbers" Preprints. https://doi.org/10.20944/preprints202408.1633.v1
Abstract
The risk classification of barrier lake is the key to conducting emergency treatment in a scientific manner. Such difficulties are faced as short time for risk evaluation, complex evaluation indicators, difficulty in obtaining information quickly and quantifying index weights. Based on this, this paper constructs a quantitative risk classification model for barrier lakes based on D-AHP. On the basis of studies on nearly 100 cases of barrier lakes, an 8-factor evaluation index system and quantitative classification are proposed. The methods of rapid calculation of reservoir capacity curve of barrier lake and intelligent identification of particles on the surface of barrier body were developed, which realized the rapid acquisition of 8-factor evaluation index information in emergency environment. The D-AHP method dealt with inconsistent weight assignment to evaluation factors by experts, which helped achieve weight quantification of 8 factors. The risk assessment on15 barrier lakes such as Tangjiashan barrier lake show that the conclusion drawn with risk classification method proposed in this paper is basically consistent with that of the traditional table-lookup method. However, the table-lookup method ignores cumulative loss’s impacts on the risk level of barrier lakes, and considers the extremely severe loss of barrier lakes as a sufficient condition for the evaluation level to be grade I, and thus a deviation in the evaluation. The risk classification method proposed in this paper is more reasonable and reliable.
Keywords
barrier lake; risk classification; weight; D-AHP; short window; information acquisition
Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
