- Define decision variables and fuzzy goals with linguistic terms.
- Create a fuzzy logic system using Simulink's Fuzzy Logic Toolbox.
- Formulate the model by integrating the fuzzy logic system, decision variables, and constraints using Simulink blocks.
- Construct an objective function block that considers the achievement levels of fuzzy goals.
- Utilize Simulink's simulation capabilities and optimization techniques to solve the model and find an optimal or satisfactory solution.
How to Fuzzy goal programming
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Want to form and solve a fuzzy goal programming for municipal solid waste management system by minimizing the system cost and maximizing revenue from recycling.
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Aniketh
on 8 Jul 2023
In order to understand what you exactly plan to do and how you want to leverage matlab/simulink to do this, you would have to provide more detailed problem requirements and constraints.
Assuming you want to use Fuzzy Logic Toolbox to tackle your problem there is a lot of documentation on how to program the tool to your requirements.
Either way here is a high level overview you might want to follow to form and solve a fuzzy goal programming for municipal solid waste management system:
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