Prediction of primary treatment effluent parameters by Fuzzy Inference System (FIS) approach
| dc.contributor.author | Yel, Esra | |
| dc.contributor.author | Yalpir, Sukran | |
| dc.date.accessioned | 2020-03-26T18:15:44Z | |
| dc.date.available | 2020-03-26T18:15:44Z | |
| dc.date.issued | 2011 | |
| dc.department | Selçuk Üniversitesi | en_US |
| dc.description | 1st World Conference on Information Technology (WCIT) -- OCT 06-10, 2010 -- Bahcesehir Univ, Istanbul, TURKEY | en_US |
| dc.description.abstract | A fuzzy-logic-based diagnosis system was developed to determine the primary treatment effluent quality in a municipal wastewater treatment plant (MWTP). The measured data of variables were implemented into the Fuzzy Inference System (FIS) with Mamdani's method. The fuzzy control rule base was shaped to define essential quality parameters monitored as pH, COD, BOD and SS outputs. The output approximations to real data remained in an acceptable range for a MWTP performance (89-96%). The averages and standard deviations of the model were also approximated closely as 93-98% and 89-97%, respectively. The resulting configuration proved a good modeling approach for MWTP effluent quality prediction. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Guest Editor. | en_US |
| dc.identifier.doi | 10.1016/j.procs.2010.12.110 | en_US |
| dc.identifier.issn | 1877-0509 | en_US |
| dc.identifier.scopusquality | N/A | en_US |
| dc.identifier.uri | https://dx.doi.org/10.1016/j.procs.2010.12.110 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12395/26740 | |
| dc.identifier.volume | 3 | en_US |
| dc.identifier.wos | WOS:000299159800108 | en_US |
| dc.identifier.wosquality | N/A | en_US |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.indekslendigikaynak | Scopus | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | ELSEVIER SCIENCE BV | en_US |
| dc.relation.ispartof | WORLD CONFERENCE ON INFORMATION TECHNOLOGY (WCIT-2010) | en_US |
| dc.relation.ispartofseries | Procedia Computer Science | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.selcuk | 20240510_oaig | en_US |
| dc.subject | Fuzzy Inference System | en_US |
| dc.subject | Wastewater | en_US |
| dc.subject | Expert Knowledge | en_US |
| dc.subject | Mamdani | en_US |
| dc.title | Prediction of primary treatment effluent parameters by Fuzzy Inference System (FIS) approach | en_US |
| dc.type | Conference Object | en_US |
