Smart City: Modeling Key Indicators in Serbia Using IT2FS
| Autor: | Mimica R. Milošević, Dušan M. Milošević, Ana Stanojević, Dragan Stević |
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| Rok vydání: | 2019 |
| Předmět: |
key indicators
Process management 020209 energy media_common.quotation_subject Geography Planning and Development Fuzzy set 0211 other engineering and technologies TJ807-830 02 engineering and technology Management Monitoring Policy and Law TD194-195 Fuzzy logic Renewable energy sources Order (exchange) Smart city 0202 electrical engineering electronic engineering information engineering GE1-350 media_common Environmental effects of industries and plants Renewable Energy Sustainability and the Environment Interval type-2 fuzzy sets 021107 urban & regional planning Building and Construction Multiple-criteria decision analysis Environmental sciences Interdependence smart city Sustainable city ComputerSystemsOrganization_MISCELLANEOUS Key (cryptography) Business Serbia |
| Zdroj: | Sustainability, Vol 11, Iss 13, p 3536 (2019) Sustainability Volume 11 Issue 13 |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su11133536 |
| Popis: | 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 &ldquo smarter&rdquo 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&rsquo opinions. The aim is to offer modelled solutions for our country integrated with the EU by smart cities. |
| Databáze: | OpenAIRE |
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