Comparative analysis of fuzzy inference systems for water consumption time series prediction

Firat M., Turan M. E., Yurdusev M. A.

JOURNAL OF HYDROLOGY, cilt.374, ss.235-241, 2009 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 374
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1016/j.jhydrol.2009.06.013
  • Dergi Adı: JOURNAL OF HYDROLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.235-241
  • Anahtar Kelimeler: Water consumption prediction, Water management, Adaptive neuro-fuzzy inference system, Mamdani fuzzy inference systems, DEMAND
  • İnönü Üniversitesi Adresli: Hayır

Özet

Two types of fuzzy inference systems (FIS) are used for predicting municipal water consumption time series. The FISs used include an adaptive neuro-fuzzy inference system (ANFIS) and a Mamdani fuzzy inference systems (MFIS). The prediction models are constructed based on the combination of the antecedent values of water consumptions. The performance of ANFIS and MFIS models in training and testing phases are compared with the observations and the best fit model is identified according to the selected performance criteria. The results demonstrated that the ANFIS model is superior to MFIS models and can be successfully applied for prediction of water consumption time series. (C) 2009 Elsevier B.V. All rights reserved.