This study explores the application of the cosine similarity measure within the structure of intuitionistic fuzzy soft sets, with the goal of developing an evidence-based model to address the complicated dynamics of the Chikungunya problem. The proposed model offers a nuanced understanding of the uncertainties present in Chikungunya data by combining intuitionistic fuzzy soft sets with cosine similarity. The study first presents intuitionistic fuzzy soft sets and outlines their basic components and operations. This model offers a comprehensive mechanism to handle the uncertainties related to Chikungunya data by effortlessly combining the adapted cosine similarity measure and intuitionistic fuzzy soft sets.