FuzzyLP optimization with sampled betas
In a previous post I demonstrated how to use crispLP to solve a simple linear optimization problem with well-defined objective function and constraints. I have also demonstrated how to solve a fuzzy linear optimization problem with uncertain constraints, i.e. fuzzy constraint values. For this I e.g. applied the FuzzyLP package with the function FCLP.classicObjective function, which for […]