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                <text>Faculty Publications</text>
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              <text>Srivastava, Mitali; Ghazala, Saibaa</text>
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              <text>Future-Proofing Sustainable Urban Development: Harnessing Fuzzy Logic for Smart Cities</text>
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              <text>01-01-2025</text>
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              <text>Fuzzy Logic in Smart Sustainable Cities;pp.215-257</text>
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              <text>&lt;a href="https://doi.org/10.1201/9781003636724-9" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1201/9781003636724-9&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105004606702?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105004606702?origin=resultslist&lt;/a&gt;</text>
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              <text>Srivastava M., CHRIST (Deemed to be University), Delhi NCR, India; Ghazala S., CHRIST (Deemed to be University), Delhi NCR, India</text>
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              <text>Urban development is the biggest challenge in this era of rapid urbanization. This chapter proposes a new approach to tackle this challenge by incorporating fuzzy logic in smart cities. Fuzzy logic is known for handling uncertainty and vagueness thus it is a way to navigate the complexities of urban planning and governance. Incorporating fuzzy logic in a smart city framework is an opportunity to improve decision-making, optimize resource allocation, and reduce the risks of urban development. 216This chapter explores many facets of fuzzy logic and sustainable urban development in a legal context. It starts by giving an overview of the urbanization and sustainability challenges and sets the stage for the discussion of fuzzy logic as a tool to address these challenges. The concept of smart sustainable cities is explained, including the principles and components that make up them. Fuzzy logic in smart cities is the central theme of this chapter. By explaining the concept of fuzzy logic and its applications in an urban context, the chapter shows how it can manage the uncertainties of the urban environment. It also investigates the legal implications of incorporating fuzzy logic in urban governance structures. Through regulatory frameworks and case studies, the chapter discusses legal issues and challenges of integrating fuzzy logic in decision-making. The chapter also looks into the need for adaptive governance structures to accommodate the dynamic nature of smart sustainable cities. It proposes ways to integrate fuzzy logic in existing legal frameworks and flexibility and adaptability in urban governance. From case studies to best practices, the chapter gives insights into the successful implementation of fuzzy logic in smart sustainable cities, which are useful for policymakers and urban planners. In summary, the chapter shows the potential of fuzzy logic to future-proof sustainable urban development in the legal sector. To promote interdisciplinary discussion and provide practical recommendations, it contributes to the discourse on using fuzzy logic for sustainable urban governance. This chapter is a trigger for new approaches to urbanization and sustainability in a legal context.  2025 Jenny Stanford Publishing Pte. Ltd. All rights reserved.</text>
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              <text>Fuzzy logic; Smart Cities; Sustainable urban development; Urban governance</text>
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              <text>Jenny Stanford Publishing</text>
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              <text>ISBN: 978-104037878-6; 978-981512970-0;</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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