TY - JOUR N2 - The current research focuses on the implementation of the fuzzy logic approach for the prediction of base pressure as a function of the input parameters. The relationship of base pressure (β ) with input parameters, namely, Mach number (M), nozzle pressure ratio (η), area ratio (α), length to diameter ratio (ξ ), and jet control (ϑ ) is analyzed. The precise fuzzy modeling approach based on Takagi and Sugeno’s fuzzy system has been used along with linear and non-linear type membership functions (MFs), to evaluate the effectiveness of the developed model. Additionally, the generated models were tested with 20 test cases that were different from the training data. The proposed fuzzy logic method removes the requirement for several trials to determine the most critical input parameters. This will expedite and minimize the expense of experiments. The findings indicate that the developed model can generate accurate predictions L1 - http://www.czasopisma.pan.pl/Content/124858/PDF/2954_BPASTS_2022_70_5.pdf L2 - http://www.czasopisma.pan.pl/Content/124858 PY - 2022 IS - 5 EP - e142654 DO - 10.24425/bpasts.2022.142654 KW - base pressure KW - Mach number KW - fuzzy modeling A1 - Quadros, Jaimon D. A1 - P., Suhas A1 - Khan, Sher A. A1 - Aabid, Abdul A1 - Baig, Muneer A1 - Mogul, Yakub I. VL - 70 DA - 26.10.2022 T1 - Fuzzy-based prediction for suddenly expanded axisymmetric nozzle flows with microjets SP - e142654 UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/124858 T2 - Bulletin of the Polish Academy of Sciences Technical Sciences ER -