Managing Cultural Built Heritage in Smart Cities Using Fuzzy and Interval Multi-criteria Decision Making
| Autor: | Mimica R. Milošević, Dušan M. Milošević, Ana Stanojević |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Knowledge management
9. Industry and infrastructure Cultural identity business.industry Analytic hierarchy process 02 engineering and technology 010501 environmental sciences 01 natural sciences Natural resource 12. Responsible consumption Cultural heritage Globalization 13. Climate action Smart city 11. Sustainability Sustainability 0202 electrical engineering electronic engineering information engineering Cultural heritage management 020201 artificial intelligence & image processing Business 0105 earth and related environmental sciences |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030511555 |
| DOI: | 10.1007/978-3-030-51156-2_69 |
| Popis: | Including human, technological, organizational, and natural resources, contemporary cities represent an urban reflection of civilization development. The globalization and competitiveness have shaped cities commercially, politically, socially, and in terms of their design and growth. Looking for the new urban patterns that could meet the global challenges, culture was recently recognized, as an indispensable part of the sustainability, and the significant pillar for grounding the Smart City initiatives. The management of cultural heritage is a significant factor for recognization, definition, and affirmation of cultural identity. Given that technology primarily enhances the urban infrastructure, the management of built heritage is significant within the Smart City development paradigm. For this paper, in the decision-making process, indicators related to the management of the cultural built heritage are divided into six groups: governing, economic, social, environmental, technological, and architectural factors. The paper aims to identify priority indicators, as necessary in the further development of heritage management, using the Fuzzy Analytic Hierarchy Process (FAHP) and Interval Analytic Hierarchy Process (IAHP) methods. The isolation of dominant indicators should enable a more precise definition of future activities and measures. The application of these methods should address the extent to which differences in fuzzy and interval grading approaches may affect the final ranking. |
| Databáze: | OpenAIRE |
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