%0 Journal Article %T Effect of selecting different membership functions on semi-active fuzzy control of adjacent buildings with MR damper %J Amirkabir Journal of Civil Engineering %I Amirkabir University of Technology %Z 2588-297X %A bahmaei, mohsen %A Zahrai, Seyed Mehdi %D 2023 %\ 02/20/2023 %V 54 %N 12 %P 4709-4728 %! Effect of selecting different membership functions on semi-active fuzzy control of adjacent buildings with MR damper %K Membership Functions %K Semi-Active Control %K MR damper %K Type-1 and Type-2 Fuzzy Control Systems %K Adjacent Buildings %R 10.22060/ceej.2022.21185.7644 %X The selection of appropriate membership functions for fuzzy control systems has always been a topic of discussion among researchers and has been generally determined by trial and error based on the experience of the control system designer. In this study, the control performances of type-1 and type-2 fuzzy systems with different membership functions in semi-active fuzzy control of two adjacent three- and nine-story buildings connected using MR damper under seismic excitations are discussed. In this study, two fuzzy systems have been used considering the type of membership function as well as the number of defined membership functions for each input. The examined membership functions are defined symmetrically and at the same intervals for comparison. The results of the control systems used for the type-1 and type-2 fuzzy algorithms are examined and compared to the uncontrolled mode by considering the triangular, Gaussian, and trapezoidal membership functions. The results obtained from the defined performance criteria show that in general, type-2 fuzzy systems perform better than type-1 fuzzy systems, due to the consideration of uncertainties and the use of membership functions intermittently. Fuzzy control systems with triangular membership functions have the best performance compared to other membership functions and the Gaussian membership function has shown close control performance to triangular function. Also, when more membership functions are used to determine the degree of membership of fuzzy language values, the fuzzy system becomes less sensitive to the type of membership function used. %U https://ceej.aut.ac.ir/article_4930_997803c41cdb75a022aa390c26fc49dc.pdf