In the real world, many situations involve dealing with vague and imprecise information, and managing this uncertainty is a big challenge. Numerical-based modeling alone is often insufficient in such cases. As a result, many researchers have implemented fuzzy signatures as a means to overcome this problem. However, there are instances where parameters remain ambiguous, and determining the fuzzy membership degree and membership function as inputs and outputs of such a system is not possible. Therefore, integrating fuzzy signatures with linguistic descriptors provides a more realistic approach to handling uncertain knowledge about the problem. This paper aims to discuss the new fuzzy linguistic signature model, which offers a unique solution by enabling the incorporation of qualitative and quantitative information and explores its potential applications. A software entirely based on linguistic inputs and outputs has been implemented to demonstrate the concept.