[1] S.N. Mandal, J.P. Choudhury, D. De, S.B. Chaudhuri, Role of membership functions in fuzzy logic for prediction of shoot length of mustard plant based on residual analysis, World academy of science, engineering and technology, 38 (2008) 378-384.
[2] A. Sadollah, Introductory Chapter: Which membership function is appropriate in fuzzy system?, in: Fuzzy Logic Based in Optimization Methods and Control Systems and its Applications, 2018.
[3] G. Lambert-Torres, M.A. Carvalho, L.E.B. Da Silva, J.O. Pinto, Fitting fuzzy membership functions using genetic algorithms, in: Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics.'cybernetics evolving to systems, humans, organizations, and their complex interactions'(cat. no. 0, IEEE, 2000, pp. 387-392.
[4] A. Esmin, A. Aoki, G. Lambert-Torres, Particle swarm optimization for fuzzy membership functions optimization, in: IEEE International Conference on Systems, Man and Cybernetics, IEEE, 2002, pp. 6 pp. vol. 3.
[5] J. Zhao, B.K. Bose, Evaluation of membership functions for fuzzy logic controlled induction motor drive, in: IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02, IEEE, 2002, pp. 229-234.
[6] J.G. Monicka, N.G. Sekhar, K.R. Kumar, Performance evaluation of membership functions on fuzzy logic controlled ac voltage controller for speed control of induction motor drive, International Journal of Computer Applications, 13(5) (2011) 8-12.
[7] D. Wu, Twelve considerations in choosing between Gaussian and trapezoidal membership functions in interval type-2 fuzzy logic controllers, in: 2012 IEEE International Conference on Fuzzy Systems, IEEE, 2012, pp. 1-8.
[8] P. Jouei, S. Pourzeynali, Optimization of fuzzy rules and shape of fuzzy logic membership functions in semi-active control of buildings using variable stiffness, (2013).(in persian)
[9] O.A.M. Ali, A.Y. Ali, B.S. Sumait, Comparison between the effects of different types of membership functions on fuzzy logic controller performance, International Journal, 76 (2015) 76-83.
[10] S. Kim, M. Lee, J. Lee, A study of fuzzy membership functions for dependence decision-making in security robot system, Neural Computing and Applications, 28(1) (2017) 155-164.
[11] M. Babanezhad, A.T. Nakhjiri, A. Marjani, M. Rezakazemi, S. Shirazian, Evaluation of product of two sigmoidal membership functions (psigmf) as an ANFIS membership function for prediction of nanofluid temperature, Scientific Reports, 10(1) (2020) 1-13.
[12] T. Sutikno, A.C. Subrata, A. Elkhateb, Evaluation of fuzzy membership function effects for maximum power point tracking technique of photovoltaic system, IEEE Access, 9 (2021) 109157-109165.
[13] R. Pelalak, A.T. Nakhjiri, A. Marjani, M. Rezakazemi, S. Shirazian, Influence of machine learning membership functions and degree of membership function on each input parameter for simulation of reactors, Scientific Reports, 11(1) (2021) 1-11.
[14] Y. Ohtori, R. Christenson, B. Spencer, S. Dyke, Benchmark control problems for seismically excited nonlinear buildings, Journal of engineering mechanics, 130(4) (2004) 366-385.
[15] O. Yoshida, S.J. Dyke, Seismic control of a nonlinear benchmark building using smart dampers, Journal of engineering mechanics, 130(4) (2004) 386-392.
[16] S.-Y. Ok, D.-S. Kim, K.-S. Park, H.-M. Koh, Semi-active fuzzy control of cable-stayed bridges using magneto-rheological dampers, Engineering structures, 29(5) (2007) 776-788.
[17] M. Abdeddaim, A. Ounis, N. Djedoui, M. Shrimali, Reduction of pounding between buildings using fuzzy controller, (2016).