How can i convert fis MATLAB fuzzy
MATLAB's Fuzzy Logic Toolbox stores fuzzy systems in .fis files. You may need to convert between different formats or versions for compatibility, sharing, or deployment.
| Goal | Method | Code/Example |
|---|---|---|
| Load old .fis file (any version) | readfis() – works with all legacy and current .fis files | fis = readfis('mycontroller.fis'); |
| Save current FIS to .fis file | writefis() (older) or savefis() (recommended) | savefis(fis, 'newcontroller'); |
| Convert between FIS types (e.g., Mamdani ↔ Sugeno) | Use convertfis() (R2020a+) or manual conversion | fis2 = convertToSugeno(fis1); fis2 = convertToType1(fis1); (for Type-2 → Type-1) |
| Export to FIS v2.0 format (most compatible) | Always save with current MATLAB version → automatically uses latest format | savefis(fis, 'myfis_v2'); |
| Import from text description (e.g., .fis text format) | readfis() works directly on text .fis files | fis = readfis('controller.txt'); |
| Convert FIS to code (C, Simulink, etc.) | genfis() + code generation tools or evalfis() for simulation | Use Fuzzy Logic Designer → Export → To Workspace then Simulink block |
| Deploy to standalone / embedded | Export as C code via MATLAB Coder or Simulink Coder | Requires MATLAB Coder + Embedded Coder |
| Open in newer MATLAB version | Just use readfis() — backward compatible since R2017a | No extra steps needed |
% Load any old .fis and resave as current version fis = readfis('old_controller.fis'); savefis(fis, 'modern_controller'); % creates modern_controller.fis % Convert Mamdani to Sugeno (zero-order or first-order) fis_sugeno = convertToSugeno(fis); % R2020a and laterfis = mamfis('Name','obstacle_avoidance'); fis = addInput(fis,[0 10],'Name','distance'); fis = addMF(fis,'distance','trimf',[0 2 5],'Name','close'); % ... then save savefis(fis,'obstacle_avoidance')“I got full marks on my MATLAB assignment! The solution was perfect and delivered well before the deadline. Highly recommended!”
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