Solving linear programming problems with Interval Type-2 fuzzy constraints using interval optimization

This paper shows the use of interval optimization models to solve linear programming problems with Interval Type-2 fuzzy constraints. The concept of α-cut of an Interval Type-2 fuzzy set is used to find optimal solutions to uncertain optimization problems. A detailed explanation of the obtained results and an application example are provided.