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What are the multi-criteria models for assessing the success of sustainable development under the 2030 Agenda? 


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Multi-criteria models for assessing the success of sustainable development under the 2030 Agenda include fuzzy goal programming models that integrate multiple conflicting objectives such as economic development, electricity consumption, employment, and greenhouse gas emission reduction . Another model proposed is a quantitative model for sustainable development assessment that uses basic economic principles, a sustainability survey, and statistical study to formulate decision-making policies . The relationship between sustainable cities and communities and climate action is assessed using DEMATEL and PIV methods in a multi-criteria decision model . Multi-criteria decision analysis (MCDA) methods are widely used to support sustainable decisions in the context of urban and architectural design, and their suitability for sustainability assessment is explored in the literature . Additionally, a multicriteria-based index called the SDGs achievement index (SDG-AI) is proposed to evaluate the progress of European Union countries in achieving the Sustainable Development Goals .

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The provided paper does not specifically mention the multi-criteria models for assessing the success of sustainable development under the 2030 Agenda.
The paper does not mention the specific multi-criteria models for assessing the success of sustainable development under the 2030 Agenda.
The paper does not mention any specific multi-criteria models for assessing the success of sustainable development under the 2030 Agenda.
The paper proposes the Sustainable Development Goals Achievement Index (SDG-AI), a multicriteria-based index, to assess the success of sustainable development under the 2030 Agenda.
The paper proposes a fuzzy goal programming model that combines optimal resource allocation with prospective goals for economic development, electricity consumption, employment, and greenhouse gas emission reduction in Egypt's primary economic sectors.

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