Детальная информация
Название | AHP-TOPSIS hybrid decision support system for dam site selection // Magazine of Civil Engineering. – 2022. – № 6 (114). — С. 11405 |
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Авторы | Rodriguez Vazquez S.; Mokrova N. |
Выходные сведения | 2022 |
Коллекция | Общая коллекция |
Тематика | Строительство; Гидротехническое строительство. Гидротехника; dams; dam site selection; hybrid systems of choice; decision support system; river basins; AHP-TOPSIS; плотины; выбор места плотины; гибридные системы выбора; система поддержки принятия решений; речные бассейны |
УДК | 626/627 |
ББК | 38.77 |
Тип документа | Статья, доклад |
Тип файла | |
Язык | Английский |
DOI | 10.34910/MCE.114.5 |
Права доступа | Свободный доступ из сети Интернет (чтение, печать, копирование) |
Ключ записи | RU\SPSTU\edoc\70424 |
Дата создания записи | 14.04.2023 |
Inadequate selection of an area for the location of dams brings about social and economic disadvantages due to the non-fulfillment of its objective, as well as causes significant damage to the ecosystem of the river basin. This type of selection depends on a set of different criteria and variables, so it is necessary to develop a tool to support decision-making that allows reducing the collateral damage that a project of this type entails and increasing the project effectiveness. This paper proposes the development of a hybrid method of multicriterial analysis using the hierarchical analysis technique (AHP) and the technique for the order of preferences by similarity to the ideal solution (TOPSIS) with a specific focus on the selection of sites for dams. Modifications to traditional methods were established by eliminating the decision-maker as an evaluator of alternatives. The proposed method is based on the hierarchical ordering of alternatives taking into account the subjective judgments of decision-makers when considering the uncertainties of the selection process. The ordering of the alternatives is preceded by the analysis of a series of hydrological, geological, topographic and land use parameters extracted from a digital elevation model. According to the results obtained, it was possible to order hierarchically (better-worse) each of the river basins evaluated according to the established parameters.
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