The paper performs the center-of-sets (COS) type-reduction (TR) and defuzzification for Takagi Sugeno Kang (TSK) type general type-2 fuzzy logic systems (GT2 FLSs) on the basis of the T-planes expression of general type-2 fuzzy sets. Actually, comparing the popular Karnik-Mendel (KM) algorithms with other noniterative algorithms is an important question in T2 society. Here the modules of fuzzy inference, COS TR, and defuzzification for TSK type GT2 FLSs are discussed by means of noniterative Nagar-Bardini (NB) algorithms, Nie-Tan (NT) algorithms, and Begian-Melek-Mendel (BMM) algorithms. Simulation instances are constructed to illustrate the performances of three types of noniterative algorithms compared with the KM algorithms. It is proved that, the proposed noniterative algorithms can enhance the computational efficiencies significantly, which afford the potential application value for designers of GT2 FLSs.