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Title: THE RISK ASSESSMENT OF UNDERGROUND UTILITY NETWORKS DAMAGE WITH USING FUZZY INFERENCE
THE RISK ASSESSMENT OF UNDERGROUND UTILITY NETWORKS DAMAGE WITH USING FUZZY INFERENCE

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M. Slusarski;N. Justyniak
10.5593/sgem2018/2.3/S11.082
1314-2704
978-619-7408-41-6
English
18
2.3
Cartography and GIS
Design risk is an inherent element of construction works, and one of its sources is the spatial data quality. Cases of damage to underground pipes and cables are often the causes of accidents, delays or construction stoppages. One of the directions of research on this risk is fuzzy logic. Fuzzy logic is used to describe complex or poorly defined phenomena that are difficult to describe by using probabilistic methods. The paper presents the method of risk assessment of underground utility networks damage which is based on the scheme of the fuzzy inference system. In the first stage, linguistic variables were defined and appropriate values were assigned to them (on the basis of risk factors). Affiliation functions for linguistic variables were modeled in the expert approach. In the second stage, qualitative output sets were determined by using the designed rule base. At the last stage of fuzzy inference, the resulting values were converted into numerical values. The center of gravity method was used in the defuzzification process. The developed method allows to estimating the assessment risk of underground utility networks damage for spatial data with various quality classes. This method will also be the basis for creating large-scale risk maps. The proposed solution, based on fuzzy logic, can be an alternative to conventional risk assessment methods.
conference
https://www.sgem.org/index.php/jresearch-article?citekey=Slusarski201811651658
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18th International Multidisciplinary Scientific GeoConference SGEM 2018
18th International Multidisciplinary Scientific GeoConference SGEM 2018, 02-08 July, 2018
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
651-658
02-08 July, 2018
website
cdrom
825
spatial data quality; cadastre; GIS