2022
DOI: 10.1016/j.egyr.2022.02.073
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Site selection framework of rail transit photovoltaic power station under interval-valued Pythagorean fuzzy environment

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Cited by 12 publications
(3 citation statements)
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“…Large cities and their tendency in decision-making are more concerned with making sensible decisions for sustainable development with robustness that allows the sustainability of the railway system in the long term than promising short-term solutions whose sustainability does not transcend, because experiences in the railway industry could lead the system to parameters of inoperability due to lack of sustainability. Uncertainty based on mixed information models (quantitative and qualitative) is a challenge for humanity because it cannot be dealt with effectively, the assumption of independence of the decision criteria does not fit reality and the problems do not it can be resolved in scenarios with more changing goals according to interests with future priority (Yin et al, 2022).…”
Section: Supportability Sensitivitymentioning
confidence: 99%
“…Large cities and their tendency in decision-making are more concerned with making sensible decisions for sustainable development with robustness that allows the sustainability of the railway system in the long term than promising short-term solutions whose sustainability does not transcend, because experiences in the railway industry could lead the system to parameters of inoperability due to lack of sustainability. Uncertainty based on mixed information models (quantitative and qualitative) is a challenge for humanity because it cannot be dealt with effectively, the assumption of independence of the decision criteria does not fit reality and the problems do not it can be resolved in scenarios with more changing goals according to interests with future priority (Yin et al, 2022).…”
Section: Supportability Sensitivitymentioning
confidence: 99%
“…The commonly used decision models in the field of rail transit are the AHP (Dong et al, 2022), ANP (Peng et al, 2022), and TOPSIS methods (Yin et al, 2022), which pursue the maximization of utility value (refer to Table 2 for details). Therefore, there is an implicit assumption that criteria can compensate each other, and the mutual compensation between criteria will lead to risk preference decision results.…”
Section: Review Of Relevant Literature On Decision Models For the Est...mentioning
confidence: 99%
“…The most commonly applied methods of multi-criteria analysis include: Multi-Attribute Utility Theory (MAUT), the Analytic Hierarchy Process (AHP), Decision Making Trial and Evaluation Laboratory (DE-MATEL), Elimination and Choice Translating Reality (ELECTRE), the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), and the Borda count ranking method [10]. In addition to methods based on multi-criteria analysis, more recent research has increasingly used statistical methods, as well as fuzzy theory and its modifications, when choosing locations [6,[11][12][13].…”
Section: Introductionmentioning
confidence: 99%