EI-FRI: Extended Incircle Fuzzy Rule Interpolation for Multidimensional Antecedents, Multiple Fuzzy Rules, and Extrapolation Using Total Weight Measurement and Shift Ratio

Authors

  • Maen Alzubi Jadara University
  • Mohammad Almseidin Tafila Technical University
  • Szilveszter Kovacs University of Miskolc
  • Jamil Al-Sawwa Tafila Technical University
  • Mouhammd Alkasassbeh Princess Summaya University

DOI:

https://doi.org/10.18196/jrc.v5i1.20515

Keywords:

Fuzzy Rule Interpolation, Incircle-FRI, Antecedent Dimensions, Rule Weight Calculation, Rule Shift Ratios.

Abstract

Traditional fuzzy reasoning techniques demand a condensed fuzzy rule base to conclude a result. Still, due to incomplete data or a deficiency of expertise and knowledge, dense rule bases are not always available. Fuzzy interpolation methods have been widely explored to reasonably allow the interpolation of a fuzzy result using the closest current rules. Fuzzy rule interpolation is a type of fuzzy inference system in which conclusions can be obtained even with a few fuzzy rules. This benefit could be used to adapt the FRI to different application areas that suffer from a lack of knowledge. Alzubi et al. [17] offered a novel interpolative method that uses a weighted average based on the center point of the Incircle of the fuzzy sets. Nevertheless, the interpolated observation does not completely define the actual observation that is provided. In our offered extension to this method, a modification weight measure calculation and a shift technique are included to guarantee that the center point of the observation and the interpolated observation are mapped together. This weight measure calculation and shift technique enabled the capability of extrapolation to be conducted implicitly, which is also improves the performance results of the algorithm in the presence of multiple fuzzy rules and multidimensional priors.

Author Biography

Maen Alzubi, Jadara University

Dr. Maen Marwan Ali Al-Zubi is currently an Assistant Professor at the Department of Robotics and Artificial Intelligence at JADARA University. He obtained his Ph.D. in AI in 2020 at the University of MISKOLC (Miskolc, Hungary). Dr. Maen Al-Zubi published several papers in international Journals and participated in multi different conferences. He has teaching and technical experience of more than 10 years in the areas of computer science. His research interests are in Fuzzy Systems, Fuzzy rule Interpolation, Image Processing, and machine learning. Email: m.alzubi@jadara.edu.jo

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Published

2024-01-25

How to Cite

[1]
M. Alzubi, M. Almseidin, S. Kovacs, J. Al-Sawwa, and M. Alkasassbeh, “EI-FRI: Extended Incircle Fuzzy Rule Interpolation for Multidimensional Antecedents, Multiple Fuzzy Rules, and Extrapolation Using Total Weight Measurement and Shift Ratio”, J Robot Control (JRC), vol. 5, no. 1, pp. 217–227, Jan. 2024.

Issue

Vol. 5 No. 1 (2024)

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