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

Authors

  • Wakhyu Dwiono Department of Electrical Engineering, Universitas Muhammadiyah Purwokerto Jl Raya Dukuhwaluh Purwokerto 53182, Indonesia.
  • Arif Johar Taufiq Department of Electrical Engineering, Universitas Muhammadiyah Purwokerto Jl Raya Dukuhwaluh Purwokerto 53182, Indonesia.
  • M. Taufiq Tamam Department of Electrical Engineering, Universitas Muhammadiyah Purwokerto Jl Raya Dukuhwaluh Purwokerto 53182, Indonesia.

Keywords:

Fuzzy Bilinear Interpolation, Interval Type 2 Fuzzy, IT2FLS, Speed Up IT2FLS,

Abstract

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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Published

2019-12-15

How to Cite

Dwiono, W., Taufiq, A. J., & Tamam, M. T. (2019). Speeding Up Interval Type 2 Fuzzy Logic Computation Using Fuzzy Bilinear Interpolation Look-Up Table. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 11(4), 55–62. Retrieved from https://jtec.utem.edu.my/jtec/article/view/5277

Issue

Vol. 11 No. 4: October - December 2019

Section

Articles

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