Fractional Fuzzy Inference Systems (FFISs): MATLAB function

Implementation of the new branch of fuzzy systems through the use of MATLAB m file function FFIS.m. (The second version)

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