Solving smart city revitalisation problems with geoparticipation process and fuzzy methods

The paper presents an exceptionally simple method that allows a researcher to find out the interpretation of the complicated revitalization processes on the bases of the collected data. It employs spatial data mining and fuzzy inference system. Thanks to building the FIS knowledge base and selecting...

Full description

Saved in:
Bibliographic Details
Published in2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC FSKD) pp. 2497 - 2503
Main Authors Olszewski, Robert, Trojanowska, Hanna, Turek, Agnieszka, Kietlinska, Bogna
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2017
Subjects
Buildings
citizens
Data mining
FIS
geoparticipation
Investment
Planning
revitalisation
Rivers
smart city
spatial data mining
Spatial databases
Urban areas
urban planning
Online AccessGet full text
DOI10.1109/FSKD.2017.8393168

Cover

More Information
Summary:The paper presents an exceptionally simple method that allows a researcher to find out the interpretation of the complicated revitalization processes on the bases of the collected data. It employs spatial data mining and fuzzy inference system. Thanks to building the FIS knowledge base and selecting the fuzzy rules, it is possible to point out the important factors that influence the process that is being the subject of the research. In this paper this is the dialogue between Polish local governments and their residents to solve the problem of urban revitalization in the context of smart city creation.
DOI:10.1109/FSKD.2017.8393168