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• W3127405791 abstract "Developed by the World Economic Forum in collaboration with Accenture, the Energy Architecture Performance Index (EAPI) looks at trends and the real performance of countries' energy systems, and provides the latest available global energy data, aiding policy formation by offering a reliable indicator of strengths and target areas for improvement. In the framework of EAPI, this paper proposes to measure national energy architecture performance by developing a group decision making (GDM) method with preference structure and acceptability analysis. Specifically, an individual decision maker is identified as a specific judgement on the importance sequence among economic growth and development (EGD), environmental sustainability (ES) and energy access and security (EAS). By means of taking all possible such judgements into account, we therefore formulate a preliminary group decision matrix for further investigation. Then, both preferential differences denoting the preference degrees among different countries, and preferential priorities denoting the favorite ranking of the countries, are extensively investigated to present a revised group decision matrix. Lastly, the Stochastic Multicriteria Acceptability Analysis for group decision-making (SMAA-2) is employed to construct the holistic acceptability indices for each country, which are thus reasonably considered the country-wide evaluation results. A satisfaction index is created to justify the merits of our GDM method, along with the calculation of the Spearman's rank correlation coefficients. An empirical study using the EAPI 2017 of 19 G20 countries is conducted to illustrate the implementation of the proposed GDM method." @default.
• W3127405791 created "2021-02-15" @default.
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• W3127405791 date "2021-04-01" @default.
• W3127405791 modified "2023-10-05" @default.
• W3127405791 title "Multi-nation comparisons of energy architecture performance: A group decision-making method with preference structure and acceptability analysis" @default.
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• W3127405791 doi "https://doi.org/10.1016/j.eneco.2021.105139" @default.
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