Optimization of conditions (pH and temperature) for Lemna gibba production using fuzzy model coupled with Mamdani’s method

Abstract A fuzzy-logic-based diagnosis system was developed to determine the effect of pH and temperature on duckweed Lemna gibba biomass production. The measured data of variables were implemented into the fuzzy inference system (FIS) with Mamdani’s method. A fuzzy rule-based model was shaped to define the essential quality parameters monitored as pH and temperature as inputs. The fuzzy modeled values of biomass gain were validated against the experimental values with a strong correlation (r2) of 0.98.

[1]  Vassilios A. Tsihrintzis,et al.  Fuzzy logic models for BOD removal prediction in free-water surface constructed wetlands , 2013 .

[2]  Jonathan Lawry,et al.  A methodology for computing with words , 2001, Int. J. Approx. Reason..

[3]  Huey-Ming Lee,et al.  Applying fuzzy set theory to evaluate the rate of aggregative risk in software development , 1996, Fuzzy Sets Syst..

[4]  Osman Aytekin,et al.  The use of fuzzy logic in predicting house selling price , 2010, Expert Syst. Appl..

[5]  Lennart Eliasson,et al.  Effects of Nutrients and Light on Growth and Root Formation in Pisum sativum Cuttings , 1978 .

[6]  Mehmet Cakmakci,et al.  Fuzzy logic modeling of the dissolved oxygen fluctuations in Golden Horn , 2005 .

[7]  Surindra Suthar,et al.  Synchronized urban wastewater treatment and biomass production using duckweed Lemna gibba L. , 2014 .

[8]  Gokmen Tayfur,et al.  FUZZY LOGIC MODEL FOR THE PREDICTION OF CEMENT COMPRESSIVE STRENGTH , 2004 .

[9]  Bart Kosko,et al.  Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence , 1991 .

[10]  V. Özdemir,et al.  Temperature prediction in a coal fired boiler with a fixed bed by fuzzy logic based on numerical solution , 2005 .

[11]  R.-S. Lu,et al.  Analysis of reservoir water quality using fuzzy synthetic evaluation , 1999 .

[12]  D. R. Hoagland,et al.  The Water-Culture Method for Growing Plants Without Soil , 2018 .

[13]  Michimasa Kishimoto,et al.  Phase control of fed-batch culture for α-amylase production based on culture phase identification using fuzzy inference , 1993 .

[14]  Jay J. Cheng,et al.  Growing Duckweed to Recover Nutrients from Wastewaters and for Production of Fuel Ethanol and Animal Feed , 2009 .

[15]  N. Khellaf,et al.  Phytoaccumulation of zinc using the duckweed Lemna gibba L.: effect of temperature, pH and metal source , 2013 .

[16]  George Tchobanoglous,et al.  Wastewater Engineering Treatment Disposal Reuse , 1972 .

[17]  Vincenzo Naddeo,et al.  River water quality assessment: A comparison of binary- and fuzzy logic-based approaches , 2012 .

[18]  Chongrak Polprasert,et al.  An integrated kinetic model for organic and nutrient removal by duckweed-based wastewater treatment (DUBWAT) system , 2008 .

[19]  V. Tsihrintzis,et al.  Assessment of a full‐scale duckweed pond system for septage treatment , 2011, Environmental technology.

[20]  Luigi Di Lascio,et al.  A fuzzy-based methodology for the analysis of diabetic neuropathy , 2002, Fuzzy Sets Syst..

[21]  Rehan Sadiq,et al.  Fuzzy-Based Method to Evaluate Soil Corrosivity for Prediction of Water Main Deterioration , 2004 .

[22]  M. Ali Akcayol.  Application of adaptive neuro-fuzzy controller for SRM , 2004 .

[23]  H. Gijzen,et al.  Nutrient recovery from domestic wastewater using a UASB-duckweed ponds system. , 2007, Bioresource technology.

[24]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.