A signomial approach for solving fuzzy fractional programming problems using triangular intuitionistic and trapezoidal fuzzy numbers

In the domain of engineering and technology, fuzzy logic is a gift that empowers us to design and develop applications in the real world. This paper presents an approach based on the signed distance method of triangular intuitionistic fuzzy numbers (TIFN) and trapezoidal fuzzy numbers \(\left( {T_{r} FN} \right)\) $\left(T_{r}FN\right)$ to solve non-linear signomial fuzzy fractional programming problems by using geometric programming techniques. In this paper, we have introduced triangular intuitionistic fuzzy numbers or trapezoidal fuzzy numbers as coefficients in objective functions and constraints. Two examples are used to illustrate the whole idea proposed in this paper.