A Hybrid LDA and Fuzzy CRITIC-MABAC Model for Smart City Ranking

A smart city is an urban development idea that seeks to efficiently incorporate diverse information and communication technology (ICT) solutions in a safe manner to properly oversee a city's resources. The literature demonstrates an absence of a universally accepted and widely used definition....

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Bibliographic Details
Published inIEEE access Vol. 13; p. 1
Main Authors Eliguzel, Ibrahim Mirac, Eliguzel, Nazmiye
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.01.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Cities
Criteria
Fuzzy CRITIC
Fuzzy sets
Hospitals
Information and communication technology
LDA
MABAC
MCDM
Ranking
Resource management
Smart cities
Smart City
Sustainable development
Systematic literature review
Transportation
Uncertainty
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Summary:A smart city is an urban development idea that seeks to efficiently incorporate diverse information and communication technology (ICT) solutions in a safe manner to properly oversee a city's resources. The literature demonstrates an absence of a universally accepted and widely used definition. The essential criteria for assessing the development of smart cities and components is the prevailing paradigm in the context of smart cities are the focus of this research. The aforementioned inquiries constitute the aim of the proposed research. This study seeks to establish a complete evaluation framework that can adapt the variations in the concept of smart cities by incorporating advanced approaches, including latent-dirichlet-allocation (LDA), fuzzy criteria-importance-through-intercriteria-correlation (fuzzy CRITIC), and multi-attributive-border-approximation area comparison (MABAC), to assess and rank cities according to multi-dimensional criteria. Afterwards, the utilization of LDA, a technique for topic analysis, is employed to extract pertinent subjects and important insights. Subsequently, internet news pertaining to specific smart cities is methodically gathered and examined using LDA results, leading an enhanced objectivity. Next, the fuzzy CRITIC technique is utilized to calculate criteria weights. Weights are utilized in the MABAC method to rank the identified smart cities.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2025.3553674