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Assimilating Fuzzy Logic in Smart City and Village Development for Sustainable Futures With Green Energy Solutions
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Author(s): Manmeet Kaur Arora (Sharda University, India), Sahil Lal (Galgotias University, Greater Noida, India), Bhupinder Singh (Sharda University, India)and Saurabh Chandra (Bennett University, Greater Noida, India)
Copyright: 2025
Pages: 10
Source title:
Leveraging AI for Innovative Sustainable Energy: Solar, Wind and Green Hydrogen
Source Author(s)/Editor(s): Hind Hammouch (University Sidi Mohamed Ben Abdellah, Morocco)and Laeeq Razzak Janjua (WSB University, Poland)
DOI: 10.4018/979-8-3373-0045-0.ch005
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Abstract
Virtually every place doing business with us is in the throes of rapid change: smart cities and villages are replacing traditional communities; urbanization is transforming social systems that were once localized phenomena; sustainable growth, one integral tenet for achieving more equitable Sustainable Development Goals (SDGs), has long proven easier conceived than enacted. The problem of the traditional planning and decision-making methods lies in their qualitative comprehension; these techniques cannot provide an adequate solution for organizing complex self-regulating mechanistic systems. The relevancy of the proposed approach is evidenced through a set of smart cities and villages case studies, which shows that it can indeed maximize sustainability outcomes with an impact over SDGs goals. This study provides a reference for the researchers, urban planners and decision-makers to implement fuzzy logic for sustainable development.
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