A Comparative Study of Revised Zero Point along with Zero Suffix Methods in Fuzzy Environment

Ultimately, the goal of the decision-makers is to find the best allocation to minimize the cost of fuzzy transportation. This investigation examines the best solution for such problems utilizing the graded mean ranking and triangular ranking technology, to transform a fuzzy triangular and trapezoidal number into a crisp value. In this section, a discussion about the correlation here between enhanced zero-point approach as well as zero suffix technique have been made. Results from these two methodologies are essentially different, as has been observed. In comparison to the improved zero-point methodology, it is less complicated to utilize and more efficient than the zero-suffix method. It is no longer necessary to use any other method because the updated zero-point methodology yields extremely accurate results. An example using numbers is presented to illustrate the method that is being offered.