The purpose of the research is to address the ambiguity and inconsistencies in legal interpretations caused by the vague and complex language of legal texts. By introducing a fuzzy logic-based model, the research aims to provide a more structured and flexible approach to legal interpretation, improving consistency, fairness, and transparency in judicial decision-making.

The methodology of the research - using MATLAB's Fuzzy Toolbox, the study defines input variables such as ambiguity in legal language, consistency in prior judgments, and complexity of legal principles. The output variable is the interpretability of legal judgments.

The practical importance of the research - the practical significance lies in improving the consistency and transparency of legal judgments, which enhances public trust in the judicial process.

The results of the research - the research demonstrates that the fuzzy logic model successfully captures uncertainties in legal language and improves the interpretability of legal judgments.

The originality and scientific novelty of the research - the study's originality stems from its innovative application of fuzzy logic to legal interpretation, a domain traditionally dominated by rigid, rule-based approaches. By modeling legal language uncertainties through fuzzy sets, the research introduces a more nuanced method for handling legal ambiguities, contributing to the fields of legal reasoning and decision-making models with a novel scientific framework.

Keywords: fuzzy logic, legal interpretation, ambiguity, judicial consistency, legal reasoning, decision-making models.