Sustainable Development Goal for Industrialization and Innovation (SDG-9): Education sector deploying Fuzzy Logic Approach for Pattern matching
Keywords:
Sustainable Development Goals (SDGs, Industrialization, Innovation, Fuzzy logic, minimal CO2 emissionsAbstract
Sustainable Development Goals (SDGs) are given first priority among the initiatives of the government throughout the world. The United Nations (UN) has set targets for global development measuring the progress towards sustainability. SDGs are primarily a worldwide data base concerned with tracking the data responsible for sustainable growth via official statistical indicators leading to advancement in economics, sustainable environment, legislation, industry, innovation, research and academics. The famous goals of the SDG 9 are to build a resilient infrastructure, promote inclusive and sustainable industrialization and encourage innovation. UN has figured out eight targets with twelve indicators to achieve SDG 9. This work focuses on sustainable development to provide high quality, reliable, sustainable and flexible infrastructure to support economic development and human welfare affordability and equity in access to all. The multi-dimensional initiative offered by our Government for accomplishing the milestones of SDG-9 is addressed here. In addition, for comprehending the relationship among the observed indicators of SDG 9, fuzzy logic is used. A significant outcome based on the degree of mapping with the related parameters using Fuzzy Associative Mapping (FAM) in the measurement of objectives of SDG 9 is achieved using fuzzy logic. The predicted results on CO2 levels in proportion to industries under operation will provide assistance to the central bodies to take preventive measures during the modification of the existing policies connected to SDG 9 goals, which also will consequently support the decision correlated with other SDGs using interactive visualization.
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