The 2030 Agenda for Sustainable Development, adopted by all United Nations Member States in 2015, has at its core the so called 17 Sustainable Development Goals (SDGs). The degree of achievement of the SDGs by a country is measured by a SDG Index: a value between 0 and 100, calculated from the aggregation and average of up to 251 indicators. Due to the information imprecision, which in many cases is of fuzzy nature, a fuzzy score FuSDG index was previously proposed to assess the degree of achievement of the SDGs of a particular country in a given year. As such achievement is measured over time, the aim of this contribution is to propose a three-step strategy to derive the basic components for a linguistic description of such evolution (starting from a given sequence of FuSDG values) to facilitate its understanding and make the potential analysis. The proposed strategy first requires the definition of linguistic labels for which two scenarios are proposed: a context-independent and a context-dependent one with their corresponding domains. Secondly, a label assignment method is proposed and finally a consolidation stage summarizes time periods with equal behavior followed by a confidence level calculation. An example is provided with information from the so-called BRICS countries to illustrate how the proposal works, the derived information, its potential and the future research topics that could be explored.
Pelta et al. (Wed,) studied this question.
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