Interval type 2 fuzzy logic system (IT2FLS) is one of the most straightforward approaches of type 2 fuzzy logic system that is relatively easy to implement. In line with the enhanced capability of the microprocessor, the interval type 2 fuzzy logic system becomes one of the solutions to overcome any problems associated with uncertainty. However, due to computation speed and limited resources, a real-time problem occurs when the IT2FLS is implemented to the low-cost microcontrollers. Based on this problem, it is essential to speed up the computation of IT2FLS. This paper proposes a method named Fuzzy Bilinear Interpolation-Look Up Table algorithm that uses saved information and fuzzy interpolation to obtain the output based on neighboring data to get higher data accuracy. From the simulation results, it was found that Fuzzy Bilinear Interpolation-LUT IT2FLS provides the same performance and computes 14 times faster than IT2FLS.


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    Title :

    Speeding Up Interval Type 2 Fuzzy Logic Computation Using Fuzzy Bilinear Interpolation Look-Up Table


    Contributors:

    Publication date :

    2019-12-15


    Remarks:

    Journal of Telecommunication, Electronic and Computer Engineering (JTEC); Vol 11, No 4: October - December 2019; 55-62 ; 2289-8131 ; 2180-1843


    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629