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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/183945
Digital and programmable economy applications: A smart cities congestion case by fuzzy sets
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Currently, cities are facing great challenges such as the population growing, citizen wellbeing, externalities management or environmental deterioration. The search for solutions are making significant inroads into the incorporation of ICT in them and subsequent large-scale digitalization such as programmable economy (PE) applications, offering the possibility to develop new approaches over these issues, in particular which related to sustainability management. Operating under a fuzzy numbers methodology and FIS (Fuzzy Inference System), the present exploratory work shows a new approach to city urban congestion management by deploying PE applications, which include some disruptive inputs such as the Internet of value, blockchain/DLT (distributed ledger, technology), smarts contracts, digital assets and the monetization, all of this combined with the human motivation.
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HERRAIZ FAIXÓ, Ferran, et al. Digital and programmable economy applications: A smart cities congestion case by fuzzy sets. Journal of Intelligent and Fuzzy Systems. 2020. Vol. 38, num. 5, pags. 5391-5404. ISSN 1064-1246. [consulted: 13 of October of 2026]. Available at: https://hdl.handle.net/2445/183945