How to Fuzzy goal programming

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.

Answer 1

[Aniketh]

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:

1. Define decision variables and fuzzy goals with linguistic terms.
2. Create a fuzzy logic system using Simulink's Fuzzy Logic Toolbox.
3. Formulate the model by integrating the fuzzy logic system, decision variables, and constraints using Simulink blocks.
4. Construct an objective function block that considers the achievement levels of fuzzy goals.
5. Utilize Simulink's simulation capabilities and optimization techniques to solve the model and find an optimal or satisfactory solution.