AuthorSatyapal Kumar
DOI Link: https://doi.org/10.70798/Bijmrd/04030020
Abstract:
The rapid growth of urbanization and technological advancements has led to the emergence of smart cities, where efficient infrastructure planning plays a crucial role in ensuring sustainable development and improved quality of life. Prioritizing smart city infrastructure projects involves evaluating multiple conflicting criteria such as economic feasibility, environmental sustainability, technological readiness, social impact, and resource constraints. These criteria are often characterized by uncertainty and vagueness due to subjective human judgments and incomplete information.
In this paper, a hybrid fuzzy multi-criteria decision-making (MCDM) framework is proposed for smart city infrastructure prioritization under uncertainty. The proposed model integrates fuzzy Analytic Hierarchy Process (AHP), fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and goal programming to provide a comprehensive decision-support system. Fuzzy AHP is employed to determine the rel-ative importance of evaluation criteria using linguistic assessments, while fuzzy TOPSIS is utilized to rank infrastructure alternatives based on their closeness to ideal solutions. Furthermore, goal programming is incorporated to optimize the satisfaction of multiple decision objectives and ensure balanced resource allocation.
A numerical case study is presented to demonstrate the applicability and effectiveness of the proposed framework. The results indicate that the hybrid fuzzy MCDM approach provides consistent, robust, and reliable prioritization outcomes, enabling decision makers to effectively manage complex urban infrastructure planning problems. The proposed model can serve as valuable tool for policymakers, urban planners, and engineers in the development of sustainable and intelligent smart city systems.
Keywords: Fuzzy sets, Multi-criteria decision making. Fuzzy AHP, Fuzzy
Page No: 139-157