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Sustainable Development Assessment of South Asian Countries Using Fuzzy Logic

  • Abhishek Tripathi,
  • Shafaque Shaikh,
  • Elton Noronha,
  • Sagar Kote,
  • Pratibha Dumane,
  • Satishkumar Chavan

摘要

The United Nations has given a blueprint for all the countries through the 17 Sustainability Development Goals for a more sustainable future. Sustainable Development Group publishes the sustainable development indicators for countries the world over. These indicators are complex in nature and highly interdependent. In this paper, the fuzzy inference system is used to assess the sustainable development based on economic, ecological, and societal sustainability indicators for South Asian countries. Fuzzy System, being the best approach to work with ambiguous data, provides a good degree of flexibility in assessment of SDG indicators for recommendations in achieving sustainable goals by countries under this study. The proposed work links human expectations about development with measurements of the sustainability indicators. It provides some good insights that can help these countries focus on their efforts in coming together in creating an inclusive, sustainable and a resilient future for all the beings and the planet.