A Two-Stage Representation of Fuzzy Systems

نویسنده

  • Anas Fattouh
چکیده

Computing the output of fuzzy systems usually passes through three stages i.e. fuzzification, inference, and defuzzification. The computation of the output requires too many operations and considerable time. This apparently discourages the use of fuzzy systems in time-critical applications. In this paper, a new two-stage representation of fuzzy systems, which reduces the operations needed to compute the output of fuzzy systemis proposed. In this representation the inference stage is embedded in the defuzzification stage. This permits computation offline, which in effect reduces the real-time computation time and therefore permits the use of fuzzy systems in real-time applications. To evaluate the performance of the proposed representation, it was used to represent the truck backer-upper control system and compared with conventional representation of fuzzy systems. The simulation results support the two-stage representation preference. Keywords–Defuzzification, fuzzification, fuzzy systems, inference, real-time systems.

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تاریخ انتشار 2012