Smart City: Modeling Key Indicators in Serbia Using IT2FS

• Published in: Sustainability 2019-07, Vol.11 (13), p.3536
• Main Authors: Milošević, Mimica R., Milošević, Dušan M., Stević, Dragan M., Stanojević, Ana D.
• Format: Article
• Language: English
• Subjects: Big Data; Climate change; Communication; Decision making; Economic development; Energy consumption; Fuzzy sets; Indicators; Infrastructure; Internet of Things; Matrix methods; Multiple criterion; Population; Preventive maintenance; Quality of life; Smart cities; Strategic planning; Sustainability; Sustainable development; Urban areas; Urban planning; Urbanization
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su11133536

Previous initiatives developed for the purpose of designing and the realization of a smart, sustainable city have shown that there is no single approach to make a city “smarter” and more sustainable. Each city represents a unique system where different stakeholders, local authorities, utility companies, and citizens undertake numerous activities, creating a matrix of interactions and interdependencies. In order to understand the ecological and social contexts of the city, as well as its priority activities, history, and specific features, the establishment of an appropriate methodology to support the establishment of a sustainable and smart city has become extremely important. Our research aims to explore key indicators in the development of the concept of the smart city in Serbia, and to assess the prioritization of activities. An integral approach based on a mathematical method a hybrid fuzzy Multi-criteria decision making (MCDM) model based on Interval type-2 fuzzy sets classifies the whole system through different criteria and sub-criteria while respecting the experts’ opinions. The aim is to offer modelled solutions for our country integrated with the EU by smart cities.