3,165
Views
57
CrossRef citations to date
0
Altmetric
Original Articles

Comparison of fuzzy inference systems for streamflow prediction

Comparaison de systèmes d'inférence floue pour la prévision de débit en rivière

Pages 261-273 | Received 13 Jul 2007, Accepted 25 Aug 2008, Published online: 21 Dec 2009

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (2)

Buket Mesta, O. Burak Akgun & Elcin Kentel. (2021) Alternative solutions for long missing streamflow data for sustainable water resources management. International Journal of Water Resources Development 37:5, pages 882-905.
Read now
Zhenghao Zhang, Qiang Zhang & Vijay P. Singh. (2018) Univariate streamflow forecasting using commonly used data-driven models: literature review and case study. Hydrological Sciences Journal 63:7, pages 1091-1111.
Read now

Articles from other publishers (55)

Subramaniam Nachimuthu Deepa, Narayanan Natarajan & Mohanadhas Berlin. (2023) Enhanced variational mode decomposition with deep learning SVM kernels for river streamflow forecasting. Environmental Earth Sciences 82:22.
Crossref
Mădălin-Dorin Pop, Dan Pescaru & Mihai V. Micea. (2023) Mamdani vs. Takagi–Sugeno Fuzzy Inference Systems in the Calibration of Continuous-Time Car-Following Models. Sensors 23:21, pages 8791.
Crossref
S. Sadeghi Tabas, N. Humaira, S. Samadi & N.C. Hubig. (2023) FlowDyn: A daily streamflow prediction pipeline for dynamical deep neural network applications. Environmental Modelling & Software, pages 105854.
Crossref
Amir Homayoun Sarfaraz, Amir Karbassi Yazdi, Thomas Hanne, Peter Fernandes Wanke & Raheleh Sadat Hosseini. (2023) Assessing repair and maintenance efficiency for water suppliers: a novel hybrid USBM-FIS framework. Operations Management Research.
Crossref
Saeid Eslamian & Mousa Maleki. 2023. Handbook of Hydroinformatics. Handbook of Hydroinformatics 59 65 .
Abdüsselam Altunkaynak & Kübra Küllahcı. (2022) Transfer precipitation learning via patterns of dependency matrix-based machine learning approaches. Neural Computing and Applications 34:24, pages 22177-22196.
Crossref
Muhammad Jehanzaib, Muhammad Ajmal, Mohammed Achite & Tae-Woong Kim. (2022) Comprehensive Review: Advancements in Rainfall-Runoff Modelling for Flood Mitigation. Climate 10:10, pages 147.
Crossref
Levent Latifoğlu. (2022) Application of the novel circulant singular spectrum analysis ensemble model for forecasting of streamflow data. Arabian Journal of Geosciences 15:10.
Crossref
Mahdi SedighkiaBithin Datta. (2022) Using evolutionary algorithms for continuous simulation of long-term reservoir inflows. Proceedings of the Institution of Civil Engineers - Water Management 175:2, pages 67-77.
Crossref
N. Humaira, S. Sadeghi Tabas, S. Samadi & N.C. Hubig. (2021) FlowDyn: A Dynamic Web-based Streamflow Prediction Pipeline. FlowDyn: A Dynamic Web-based Streamflow Prediction Pipeline.
Babak Mohammadi. (2021) A review on the applications of machine learning for runoff modeling. Sustainable Water Resources Management 7:6.
Crossref
Muhamad Nur Adli Zakaria, Marlinda Abdul Malek, Maslina Zolkepli & Ali Najah Ahmed. (2021) Application of artificial intelligence algorithms for hourly river level forecast: A case study of Muda River, Malaysia. Alexandria Engineering Journal 60:4, pages 4015-4028.
Crossref
Ruhhee Tabbussum & Abdul Qayoom Dar. (2021) Modelling hybrid and backpropagation adaptive neuro-fuzzy inference systems for flood forecasting. Natural Hazards 108:1, pages 519-566.
Crossref
Magali Troin, Richard Arsenault, Andrew W. Wood, François Brissette & Jean‐Luc Martel. (2021) Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years. Water Resources Research 57:7.
Crossref
Hussein BizimanaAbdüsselam Altunkaynak. (2021) Prediction of the Incipient Motion of Sediment Entrainment via a Novel Hybrid Geno-Fuzzy Approach with Experimental Investigations. Journal of Irrigation and Drainage Engineering 147:5.
Crossref
Ruhhee Tabbussum & Abdul Qayoom Dar. (2021) Performance evaluation of artificial intelligence paradigms—artificial neural networks, fuzzy logic, and adaptive neuro-fuzzy inference system for flood prediction. Environmental Science and Pollution Research 28:20, pages 25265-25282.
Crossref
Hussein Bizimana & Abdüsselam Altunkaynak. (2021) Investigating the Effects of Bed Roughness on Incipient Motion in Rigid Boundary Channels with Developed Hybrid Geno-Fuzzy versus Neuro-Fuzzy Models. Geotechnical and Geological Engineering 39:4, pages 3171-3191.
Crossref
Saad Chakkor, Mostafa Baghouri, Ahmed El Oualkadi, Jalil Abdelkader El Hangouche, Jawhar Laamech & Rachid Belfkih. 2021. Artificial Intelligence for COVID-19. Artificial Intelligence for COVID-19 383 411 .
Vedrana Jerković Štil, Toni Varga, Tin Benšić & Marinko Barukčić. (2020) A Survey of Fuzzy Algorithms Used in Multi-Motor Systems Control. Electronics 9:11, pages 1788.
Crossref
Hussein Bizimana & Abdüsselam Altunkaynak. (2020) Modeling the initiation of sediment motion under a wide range of flow conditions using a Geno-Mamdani Fuzzy Inference System method. International Journal of Sediment Research 35:5, pages 467-483.
Crossref
Shruti Kambalimath & Paresh Chandra Deka. (2020) A basic review of fuzzy logic applications in hydrology and water resources. Applied Water Science 10:8.
Crossref
Saad Chakkor, Mostafa Baghouri, Zineb Cheker, Ahmed el Oualkadi, Jalil Abdelkader el Hangouche & Jawhar Laamech. (2020) Intelligent Network for Proactive Detection of COVID-19 Disease. Intelligent Network for Proactive Detection of COVID-19 Disease.
Eren Bas, Ufuk Yolcu & Erol Egrioglu. (2020) Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm. Journal of Computational and Applied Mathematics 370, pages 112656.
Crossref
Mustafa Utku Yilmaz & Bihrat Onoz. (2020) A Comparative Study of Statistical Methods for Daily Streamflow Estimation at Ungauged Basins in Turkey. Water 12:2, pages 459.
Crossref
Maysara Ghaith, Ahmad SiamZhong LiWael El-Dakhakhni. (2020) Hybrid Hydrological Data-Driven Approach for Daily Streamflow Forecasting. Journal of Hydrologic Engineering 25:2.
Crossref
Hussein Bizimana & Abdüsselam Altunkaynak. (2019) A novel approach for the prediction of the incipient motion of sediments under smooth, transitional and rough flow conditions using Geno-Fuzzy Inference System model. Journal of Hydrology 577, pages 123952.
Crossref
Abdüsselam Altunkaynak. (2019) Predicting Water Level Fluctuations in Lake Van Using Hybrid Season-Neuro Approach. Journal of Hydrologic Engineering 24:8.
Crossref
Ozgur Kisi & Zaher Mundher Yaseen. (2019) The potential of hybrid evolutionary fuzzy intelligence model for suspended sediment concentration prediction. CATENA 174, pages 11-23.
Crossref
Samir Hadj Miloud, Kaddour Djili & Mohamed Benidir. (2018) Fuzzy Logic Expert System for Classifying Solonchaks of Algeria. Applied and Environmental Soil Science 2018, pages 1-11.
Crossref
Mohammad Ali Ghorbani, Rahman Khatibi, Ali Danandeh Mehr & Hakimeh Asadi. (2018) Chaos-based multigene genetic programming: A new hybrid strategy for river flow forecasting. Journal of Hydrology 562, pages 455-467.
Crossref
H. Kays, A. Karim, Mohd Daud, Maria Varela, Goran Putnik & José Machado. (2018) A Collaborative Multiplicative Holt-Winters Forecasting Approach with Dynamic Fuzzy-Level Component. Applied Sciences 8:4, pages 530.
Crossref
Ali Danandeh Mehr & Ercan Kahya. (2017) A Pareto-optimal moving average multigene genetic programming model for daily streamflow prediction. Journal of Hydrology 549, pages 603-615.
Crossref
Morteza Zanganeh. (2017) Simultaneous optimization of clustering and fuzzy IF-THEN rules parameters by the genetic algorithm in fuzzy inference system-based wave predictor models. Journal of Hydroinformatics 19:3, pages 385-404.
Crossref
Zaher Mundher Yaseen, Othman Jaafar, Ravinesh C. Deo, Ozgur Kisi, Jan Adamowski, John Quilty & Ahmed El-Shafie. (2016) Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq. Journal of Hydrology 542, pages 603-614.
Crossref
M. Mohammad Rezapour Tabari. (2016) Prediction of River Runoff Using Fuzzy Theory and Direct Search Optimization Algorithm Coupled Model. Arabian Journal for Science and Engineering 41:10, pages 4039-4051.
Crossref
Saeed Samadianfard, Honeyeh Kazemi, Ozgur Kisi & Wen-Cheng Liu. (2016) Water temperature prediction in a subtropical subalpine lake using soft computing techniques. Earth Sciences Research Journal 20:2, pages 1.
Crossref
Morteza Zanganeh, Abbas Yeganeh-Bakhtiary & Takao Yamashita. (2016) ANFIS and ANN models for the estimation of wind and wave-induced current velocities at Joeutsu-Ogata coast. Journal of Hydroinformatics 18:2, pages 371-391.
Crossref
Zaher Mundher Yaseen, Ahmed El-shafie, Othman Jaafar, Haitham Abdulmohsin Afan & Khamis Naba Sayl. (2015) Artificial intelligence based models for stream-flow forecasting: 2000–2015. Journal of Hydrology 530, pages 829-844.
Crossref
Kamil AydinOzgur Kisi. (2015) Applicability of a Fuzzy Genetic System for Crack Diagnosis in Timoshenko Beams. Journal of Computing in Civil Engineering 29:5.
Crossref
Hamid R. Safavi, Mohammad H. Golmohammadi & Samuel Sandoval-Solis. (2015) Expert knowledge based modeling for integrated water resources planning and management in the Zayandehrud River Basin. Journal of Hydrology 528, pages 773-789.
Crossref
Abraham Ahumada, Abdusselam Altunkaynak & Ashraf Ayoub. (2015) Fuzzy logic-based attenuation relationships of strong motion earthquake records. Expert Systems with Applications 42:3, pages 1287-1297.
Crossref
Mustafa Erkan Turan & Mehmet Ali Yurdusev. (2014) Predicting Monthly River Flows by Genetic Fuzzy Systems. Water Resources Management 28:13, pages 4685-4697.
Crossref
Abdüsselam Altunkaynak. (2014) Predicting Water Level Fluctuations in Lake Michigan-Huron Using Wavelet-Expert System Methods. Water Resources Management 28:8, pages 2293-2314.
Crossref
Özgür Kişi & Halil İbrahim Fedakar. 2014. Computational Intelligence Techniques in Earth and Environmental Sciences. Computational Intelligence Techniques in Earth and Environmental Sciences 175 196 .
Ozgur Kisi. (2013) Applicability of Mamdani and Sugeno fuzzy genetic approaches for modeling reference evapotranspiration. Journal of Hydrology 504, pages 160-170.
Crossref
Hadi Galavi, Majid Mirzaei, Lee Teang Shul & Nariman Valizadeh. (2013) Klang River-level forecasting using ARIMA and ANFIS models. Journal - American Water Works Association 105:9, pages E496-E506.
Crossref
Chang-Shian Chen, You-Da Jhong, Ting-Ying Wu & Shien-Tsung Chen. (2013) Typhoon event-based evolutionary fuzzy inference model for flood stage forecasting. Journal of Hydrology 490, pages 134-143.
Crossref
Liang-Cheng Chang, Hone-Jay Chu & Yi-Wen Chen. (2013) A Fuzzy Inference System for the Conjunctive Use of Surface and Subsurface Water. Advances in Fuzzy Systems 2013, pages 1-10.
Crossref
Abraham Ahumada, Abdusselam Altunkaynak & Ashraf Ayoub. (2012) Fuzzy Logic-Based Attenuation Relationships of Strong Motion Earthquake Records. Fuzzy Logic-Based Attenuation Relationships of Strong Motion Earthquake Records.
Keh-Han WangAbdusselam Altunkaynak. (2012) Comparative Case Study of Rainfall-Runoff Modeling between SWMM and Fuzzy Logic Approach. Journal of Hydrologic Engineering 17:2, pages 283-291.
Crossref
Hamid R. SafaviMohammad A. Alijanian. (2011) Optimal Crop Planning and Conjunctive Use of Surface Water and Groundwater Resources Using Fuzzy Dynamic Programming. Journal of Irrigation and Drainage Engineering 137:6, pages 383-397.
Crossref
Abdüsselam Altunkaynak & Keh-Han Wang. (2011) A comparative study of hydrodynamic model and expert system related models for prediction of total suspended solids concentrations in Apalachicola Bay. Journal of Hydrology 400:3-4, pages 353-363.
Crossref
W Tang, L Z Gu & H Guo. (2009) Computer-aided process planning based on automatic fuzzy comprehensive evaluation. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 224:6, pages 869-877.
Crossref
Abdüsselam Altunkaynak. (2010) A predictive model for well loss using fuzzy logic approach. Hydrological Processes, pages n/a-n/a.
Crossref
Wei Wu, Muhammad Ikhsan Taipabu, Karthickeyan Viswanathan & Renanto Handogo. (2021) Novel Design, Validation, and Optimization of Hydrogen Production with CO <sub>2</sub> Capture Through an Integration of Glycerol Steam Reforming and Pressure Swing Adsorption. SSRN Electronic Journal.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.