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Predicting correlations properties of crude oil systems using type-2 fuzzy logic systems.

, , and . Expert Syst. Appl., 38 (9): 10911-10922 (2011)

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A Novel Homogenous Hybridization Scheme for Performance Improvement of Support Vector Machines Regression in Reservoir Characterization., , , and . Applied Comp. Int. Soft Computing, (2016)Improved sensitivity based linear learning method for permeability prediction of carbonate reservoir using interval type-2 fuzzy logic system., , and . Appl. Soft Comput., (2014)A Hybrid Model through the Fusion of Type-2 Fuzzy Logic Systems and Sensitivity-Based Linear Learning Method for Modeling PVT Properties of Crude Oil Systems., , and . Adv. Fuzzy Syst., (2012)Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems., , and . Comput. Ind., 62 (2): 147-163 (2011)Predicting correlations properties of crude oil systems using type-2 fuzzy logic systems., , and . Expert Syst. Appl., 38 (9): 10911-10922 (2011)Modeling the correlations of crude oil properties based on sensitivity based linear learning method., , , and . Eng. Appl. Artif. Intell., 24 (4): 686-696 (2011)Modeling PVT Properties of Crude Oil Systems Using Type-2 Fuzzy Logic Systems., , and . ICCCI (1), volume 6421 of Lecture Notes in Computer Science, page 499-508. Springer, (2010)Modeling PVT Properties of Crude Oil Systems Based on Type-2 Fuzzy Logic Approach and Sensitivity Based Linear Learning Method., , and . ICCCI (1), volume 7653 of Lecture Notes in Computer Science, page 145-155. Springer, (2012)Modeling permeability and PVT properties of oil and gas reservoir using hybrid model based on type-2 fuzzy logic systems., , and . Neurocomputing, (2015)