Smart City Gnosys
Smart city article details
| Title | Future-Proofing Sustainable Urban Development: Harnessing Fuzzy Logic For Smart Cities |
|---|---|
| ID_Doc | 27565 |
| Authors | Srivastava M.; Ghazala S. |
| Year | 2025 |
| Published | Fuzzy Logic in Smart Sustainable Cities |
| DOI | http://dx.doi.org/10.1201/9781003636724-9 |
| Abstract | 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. |
| Author Keywords | Fuzzy logic; Smart Cities; Sustainable urban development; Urban governance |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
27587  | 0.916 | Thakur R.; Singh A. | Fuzzy Logic Applications In Sustainable Smart Cities: A Systematic Scientometric Analysis | Fuzzy Logic in Smart Sustainable Cities (2025) |
| 61047 | 0.913 | Singh B.; Kaunert C.; Lal S.; Arora M.K. | Versatility Of Fuzzy Logic In Urban Transportation And Sustainable Planning In Smart Cities | Fuzzy Logic in Smart Sustainable Cities (2025) |
| 10952 | 0.902 | Arora M.K.; Lal S.; Singh B.; Chandra S. | Assimilating Fuzzy Logic In Smart City And Village Development For Sustainable Futures With Green Energy Solutions | Leveraging AI for Innovative Sustainable Energy: Solar, Wind and Green Hydrogen (2025) |
| 55602 | 0.889 | Lal R.; Chauhan S.S. | The Fuzzy Side Of Smart Cities: Ethical, Legal, And Social Implications | Fuzzy Logic in Smart Sustainable Cities (2025) |
| 36592 | 0.863 | Kutty A.A.; Kucukvar M.; Onat N.C.; Ayvaz B.; Abdella G.M. | Measuring Sustainability, Resilience And Livability Performance Of European Smart Cities: A Novel Fuzzy Expert-Based Multi-Criteria Decision Support Model | Cities, 137 (2023) |
| 6697 | 0.862 | Anjum M.; Min H.; Sharma G.; Ahmed Z. | Advancing Sustainable Urban Development: Navigating Complexity With Spherical Fuzzy Decision Making | Symmetry, 16, 6 (2024) |
| 50564 | 0.859 | Karmaker A.K.; Islam S.M.R.; Kamruzzaman M.; Rashid M.M.U.; Faruque M.O.; Hossain M.A. | Smart City Transformation: An Analysis Of Dhaka And Its Challenges And Opportunities | Smart Cities, 6, 2 (2023) |
| 1869 | 0.856 | Aghimien D.O.; Aigbavboa C.; Edwards D.J.; Mahamadu A.-M.; Olomolaiye P.; Nash H.; Onyia M. | A Fuzzy Synthetic Evaluation Of The Challenges Of Smart City Development In Developing Countries | Smart and Sustainable Built Environment, 11, 3 (2022) |
| 3351 | 0.852 | Kamali Saraji M.; Streimikiene D. | A Novel Extended Fermatean Fuzzy Framework For Evaluating The Challenges To Sustainable Smart City Development | Studies in Fuzziness and Soft Computing, 420 (2023) |
| 5504 | 0.851 | Angel B.; Angel D. | A Systematic Survey On The Use Of Fuzzy Graph Structures In India'S Smart City Development | Proceedings - 5th International Conference on Computing Methodologies and Communication, ICCMC 2021 (2021) |