Dear Anand,

I suggest you to see links and attached files in topics.

Type-2 Fuzzy Logic Toolbox

web.itu.edu.tr/kumbasart/type2fuzzy.htm

Design and Implementation of Interval Type-2 Single Input Fuzzy ...

https://link.springer.com/chapter/10.1007/978-81-322-0740-5_99

Interval Type2 Fuzzy Logic Toolbox - ResearchGate

https://www.researchgate.net/.../241974436_Interval_Type2_Fuzzy_Logic_Toolbox

Type 2 fuzzy logic System - MATLAB Answers - MATLAB Central

https://www.mathworks.com/matlabcentral/.../13468-type-2-fuzzy-...

Best regards

Dear Anand Babu

A significant number of investigations of type-1 and type-2 fuzzy logic controllers have revealed their exceptional ability to capture uncertainties in complex and non-linear systems, particularly in real-time control applications. However, regardless of being type-1 or type-2, fuzzy logic controller design is still a complicated task due to lack of a closed form solution of the output and an interpretable relationship between the control output and fuzzy logic controller design parameters, such as center or width of the membership functions. To simplify the design procedure, we think every attempt to obtain such interpretable relationships is worthwhile. Accordingly, this paper aims to design a double-input interval type-2 fuzzy PID controller and obtain interpretable relationships between the input and output of the controller. Thereafter, we deploy the novel design for the control of a Y6 coaxial tricopter unmanned aerial vehicle. Simulation results, which are realised in robot operating system (ROS) using C++ and Gazebo environment, are found to tally with the theoretical analysis and claims in the paper.

https://www.youtube.com/watch?v=Eo2Cuk3Bo5Y

Design a fuzzy controller, step by step using matlab and the Fuzzy command.

https://www.youtube.com/watch?v=rcMN95ANz_c

Using "Differential Evolution" algorithm to optimize the Fuzzy Type-2 member function's https://www.youtube.com/watch?v=N31dC6762-M

https://www.mathworks.com/videos/fuzzy-logic-controller-in-simulink-68767.html

https://www.youtube.com/watch?v=onSyxFgYKr8

BR

have a look at:

https://www.mathworks.com/matlabcentral/fileexchange/29006-functions-for-interval-type-2-fuzzy-logic-systems