Fuzzy approach in the uncertainty analysis of the water distribution network of Becej
Abstract
One of the most important steps in the development of water distribution system simulation models is providing the dependence of results of simulation on the uncertainty of input values. Information about propagation of uncertainty through the simulation model provides a basis for general model improvement in an efficient and economic (low cost) way. Besides statistically based uncertainty and sensitivity analyses, the fuzzy set theory provides an alternative that does not require crisp statistical measures of input parameter distributions. Uncertainty is represented by fuzzy set parameters, which do not have direct correspondence with statistical background, although indications of uncertainty can be easily recognized. In the analysis presented in this article, applied to the model water distribution system of the Becej community, roughness of old pipes has been selected as the uncertain parameter, as the correct values and their statistical distribution are unknown. As fuzzy uncertai...nty analyses for non-linear models and non-monotonic results require efficient optimization methods, a method based on evolutionary genetic algorithm has been used.
Keywords:
water distribution systems / uncertainty and sensitivity analyses / fuzzy sets / genetic algorithmsSource:
Civil Engineering and Environmental Systems, 2006, 23, 3, 221-236Publisher:
- Taylor and Francis Ltd.
DOI: 10.1080/10286600600789425
ISSN: 1028-6608
WoS: 000239088800008
Scopus: 2-s2.0-33746354932
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Institution/Community
GraFarTY - JOUR AU - Branisavljević, Nemanja AU - Ivetić, Marko PY - 2006 UR - https://grafar.grf.bg.ac.rs/handle/123456789/132 AB - One of the most important steps in the development of water distribution system simulation models is providing the dependence of results of simulation on the uncertainty of input values. Information about propagation of uncertainty through the simulation model provides a basis for general model improvement in an efficient and economic (low cost) way. Besides statistically based uncertainty and sensitivity analyses, the fuzzy set theory provides an alternative that does not require crisp statistical measures of input parameter distributions. Uncertainty is represented by fuzzy set parameters, which do not have direct correspondence with statistical background, although indications of uncertainty can be easily recognized. In the analysis presented in this article, applied to the model water distribution system of the Becej community, roughness of old pipes has been selected as the uncertain parameter, as the correct values and their statistical distribution are unknown. As fuzzy uncertainty analyses for non-linear models and non-monotonic results require efficient optimization methods, a method based on evolutionary genetic algorithm has been used. PB - Taylor and Francis Ltd. T2 - Civil Engineering and Environmental Systems T1 - Fuzzy approach in the uncertainty analysis of the water distribution network of Becej EP - 236 IS - 3 SP - 221 VL - 23 DO - 10.1080/10286600600789425 ER -
@article{ author = "Branisavljević, Nemanja and Ivetić, Marko", year = "2006", abstract = "One of the most important steps in the development of water distribution system simulation models is providing the dependence of results of simulation on the uncertainty of input values. Information about propagation of uncertainty through the simulation model provides a basis for general model improvement in an efficient and economic (low cost) way. Besides statistically based uncertainty and sensitivity analyses, the fuzzy set theory provides an alternative that does not require crisp statistical measures of input parameter distributions. Uncertainty is represented by fuzzy set parameters, which do not have direct correspondence with statistical background, although indications of uncertainty can be easily recognized. In the analysis presented in this article, applied to the model water distribution system of the Becej community, roughness of old pipes has been selected as the uncertain parameter, as the correct values and their statistical distribution are unknown. As fuzzy uncertainty analyses for non-linear models and non-monotonic results require efficient optimization methods, a method based on evolutionary genetic algorithm has been used.", publisher = "Taylor and Francis Ltd.", journal = "Civil Engineering and Environmental Systems", title = "Fuzzy approach in the uncertainty analysis of the water distribution network of Becej", pages = "236-221", number = "3", volume = "23", doi = "10.1080/10286600600789425" }
Branisavljević, N.,& Ivetić, M.. (2006). Fuzzy approach in the uncertainty analysis of the water distribution network of Becej. in Civil Engineering and Environmental Systems Taylor and Francis Ltd.., 23(3), 221-236. https://doi.org/10.1080/10286600600789425
Branisavljević N, Ivetić M. Fuzzy approach in the uncertainty analysis of the water distribution network of Becej. in Civil Engineering and Environmental Systems. 2006;23(3):221-236. doi:10.1080/10286600600789425 .
Branisavljević, Nemanja, Ivetić, Marko, "Fuzzy approach in the uncertainty analysis of the water distribution network of Becej" in Civil Engineering and Environmental Systems, 23, no. 3 (2006):221-236, https://doi.org/10.1080/10286600600789425 . .