Fractional Fuzzy Inference Systems (FFISs): MATLAB function

Versión 24.03.01 (735 KB) por Mehran Mazandarani
Implementation of the new branch of fuzzy systems through the use of MATLAB m file function FFIS.m. (The second version)
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This document is dedicated to explaining briefly how the Fractional Fuzzy Inference Systems (FFISs) can be implemented in MATLAB through the use of the second version of the function FFIS.m, i.e., (the version No. 240301). This version has been built by MATLAB Version: R2020a and is compatible with Windows 64-bit.
The package includes the following files:
The help file: Help_FFIS240301.pdf
FFIS.m
Supplementary Mex files namely: HMFunction.mexw64, eval_trapmf.mexw64, eval_trimf.mexw64, and mexFidsPoly.mexw64
Supplementary m-files: evalmf2.m and checkPolynomialRange.m(Optional)
The example files: (example.m, IP_example.fis})
The main file that should be used is FFIS.m. This function evaluates fractional fuzzy inference system. Its role is similar to the evalfis.m in the MATLAB software.
Note. The mex files and the evalmf2.m must be in the same folder along with FFIS.m.
Before using the FFIS.m please watch the tutorial published on YouTube.
Detail information about FFISs may be found in the following references:
https://youtu.be/DXiO4oNrohk
https://www.youtube.com/watch?v=U4YmRDhOLno
https://youtu.be/t3DR0Ajgd1Q
Mehran Mazandarani, L. Xiu,Interval Type-2 Fractional Fuzzy Inference Systems: Towards an evolution in fuzzy inference systems, Expert Systems with Applications, 2022.
Link: https://www.sciencedirect.com/science/article/pii/S0957417421013002
Mehran Mazandarani, Li Xiu, Fractional Fuzzy Inference System: The New Generation of Fuzzy Inference Systems, IEEE Access, Vol. 8, pp. 126066-126082, 2020.
DOI: 10.1109/ACCESS.2020.3008064
Link: https://ieeexplore.ieee.org/document/9136681

Citar como

Mehran Mazandarani (2025). Fractional Fuzzy Inference Systems (FFISs): MATLAB function (https://www.mathworks.com/matlabcentral/fileexchange/84195-fractional-fuzzy-inference-systems-ffiss-matlab-function), MATLAB Central File Exchange. Recuperado .

Mehran Mazandarani, Li Xiu, Fractional Fuzzy Inference System: The New Generation of Fuzzy Inference Systems, IEEE Access, Vol. 8, pp. 126066-126082, 2020. DOI: 10.1109/ACCESS.2020.3008064

Mazandarani, Mehran, and Li Xiu. “Interval Type-2 Fractional Fuzzy Inference Systems: Towards an Evolution in Fuzzy Inference Systems.” Expert Systems with Applications, vol. 189, Elsevier BV, Mar. 2022, p. 115947, doi:10.1016/j.eswa.2021.115947.

Ver más estilos

Mazandarani, Mehran, and Li Xiu. “Interval Type-2 Fractional Fuzzy Inference Systems: Towards an Evolution in Fuzzy Inference Systems.” Expert Systems with Applications, vol. 189, Elsevier BV, Mar. 2022, p. 115947, doi:10.1016/j.eswa.2021.115947.

Ver más estilos

Mehran Mazandarani, J. Pan, "The Q-Fractionalism Reasoning Learning Method," IEEE Transactions on Neural Networks and Learning Systems, 2024. https://ieeexplore.ieee.org/document/10304370

Mehran Mazandarani, O. Kosheleva, V. Kreinovich, "Why Fractional Fuzzy," EUSFLAT AGOP 2023, https://doi.org/10.1007/978-3-031-39965-7_24

Compatibilidad con la versión de MATLAB
Se creó con R2020b
Compatible con cualquier versión desde R2020a
Compatibilidad con las plataformas
Windows macOS Linux

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Versión Publicado Notas de la versión
24.03.01

The structure of Fids has been changed slightly.
Some functions have been converted to their corresponding mex file.
The speed of execution has been increased by about 75%.

22.08.13

The help file has been updated with more information about the fractional FISs.

20.12.10