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Coordinating the downstream ecological demand and the power generation demand of hydropower stations is an important task in the operation of reservoirs, and how to evaluate the ecological satisfaction of the scheduling process is a difficult problem that needs to be solved urgently. A multi-objective optimal reservoir scheduling model was constructed to coordinate the spawning flow demand of " Four Major Chinese Carps"; The model takes the maximum power generation and the maximum membership degree of downstream river ecological water demand as the objective functions, and uses the dynamic programming multi-objective solution algorithm based on penalty factors to solve the problem, and obtains the non-inferior solution set in each scenario. The multilayer entropy-weighted TOPSIS method was used to study the non-inferior solution of the multi-objective scheduling model of the Three Gorges Reservoir, and the satisfactory solution ranking of the river flow rise process, ecological flow-related requirements, and power generation water requirements was obtained under the four schemes including 4d ~ 7d, which improved the reliability of the evaluation results and made up for the shortcomings of the traditional TOPSIS method in terms of hierarchy and weight science. The research results of this paper can provide a reference for decision-making on the ecological management of the spawning period of the " Four Major Chinese Carps" in the Three Gorges Reservoir of the Yangtze River.
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http://dx.doi.org/10.1038/s41598-025-87106-4 | DOI Listing |
PLoS One
September 2025
Department of administration office, Luzhou People's Hospital, Luzhou, Sichuan, China.
Objective: To analyze the capacity and influencing factors of primary health care services and to provide a scientific basis for promoting the development of primary health care services in China.
Methods: The entropy weight technique for order preference by similarity to ideal solution (TOPSIS) and rank‒sum ratio (RSR) methods, which are based on the health resource density index (HRDI), were used to analyze the capacity of primary health care services, and multiple stepwise regression analysis was used to analyze the influencing factors.
Results: Taking the HRDI of primary health care service capacity in 2021 as a reference, the six evaluation indicators of 14 regions, including Hebei, Liaoning, and Shanghai, were higher than the Chinese average.
PLoS One
September 2025
Agricultural Products Processing Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, Guangdong, China.
This study constructs an evaluation index system and model by integrating objective evaluation methods such as the entropy weight method and TOPSIS with subjective evaluation methods like Delphi and AHP. By analyzed the scatter plots of the comprehensive quality evaluation values of commodity quality before and after weighting, it was found that the quality evaluation values before and after weighting are highly correlated, with correlation coefficients of 0.908 respectively.
View Article and Find Full Text PDFPlants (Basel)
August 2025
College of Water Conservancy and Hydropower Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Agroforestry is an ecological agricultural model that promotes the coordinated development of agriculture and animal husbandry. Exploring appropriate water and nitrogen management strategies for forage grasses in agroforestry systems is of great significance for improving productivity. This study aims to investigate the effects of different water and nitrogen management practices on the growth, nitrogen uptake, and utilization efficiency of intercropped alfalfa in a goji berry-alfalfa system.
View Article and Find Full Text PDFEntropy (Basel)
August 2025
Faculty of Computer Science, Bialystok University of Technology, Wiejska 45A, 15-351 Białystok, Poland.
In the era of digital interconnectivity, user-generated reviews on platforms such as TripAdvisor have become a valuable source of social feedback, reflecting collective experiences and perceptions of airline services. However, aggregating such feedback presents several challenges: evaluations are typically expressed using linguistic ordinal scales, are subjective, often incomplete, and influenced by opinion dynamics within social networks. To effectively deal with these complexities and extract meaningful insights, this study proposes an information-driven decision-making framework that integrates Fuzzy Belief Structures with the TOPSIS method.
View Article and Find Full Text PDFEntropy (Basel)
August 2025
School of Mathematics and Statistics, Guangdong University of Technology, Guangzhou 510520, China.
By integrating statistical modeling and data analysis techniques, we systematically assess the carbon emission performance of the ceramic industry and propose targeted emission reduction pathways. Firstly, the entropy weight TOPSIS model is employed to quantitatively evaluate the carbon emission performance of the three major Chinese ceramic production areas: Foshan, Jingdezhen, and Zibo. Through data-driven quantitative analysis, it is disclosed that the carbon emission intensity in Foshan is significantly higher than that in the other two regions (with a relative closeness degree of 0.
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