| Summary: | De Novo Programming, which is also known as Optimal System Design, regulates the resource amount of constraints depending upon the budget. Mostly, this process is managed using traditional methods, fuzzy methods and hybrid methods. When considered from this point of view, there is no certain method for the solution of De Novo Programming problems. An approach for solving the Multi-Objective De Novo Programming has been recommended using Type-2 Fuzzy Sets in this research. Without exceeding the budget in the recommended approach, Type-2 membership function for each objective function has been defined applying positive and negative ideal solutions. The solution phase of this approach, called Multi-Objective De Novo Programming with Type-2 Fuzzy Objective, has been shown step by step on the illustrative problem. Then, this illustrative problem has been solved with regards to five different approaches in the literature and the results have been compared.
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