This article introduces a Multi-Criteria decision-making approach that utilizes a scoring function within a bipolar fuzzy framework. TOPSIS is one of the most effective techniques for identifying the best solution. To achieve this, we examined the TOPSIS method along with bipolar fuzzy arithmetic and geometric weighted aggregators. Subsequently, we developed the new methodology by incorporating the bipolar score function. Also, we would like to compare the proposed method with the traditional TOPSIS approach. A comparative analysis was performed to illustrate the effectiveness and applicability of the suggested techniques. We also applied the new methodology to a Multi-Criteria Decision-Making problem. Moreover, we included the regression results using the bipolar scoring function to evaluate the influence of other parameters in mathematics.