Calculating the Weight of an Accusation in Political Discourse Using Fuzzy Logic

2024

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DOI 10.1109/piere62470.2024.10804995
Data confidence 85 high
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Abstract

This article delves into the application of fuzzy logic for analyzing political discourse in the Kazakh language, specifically addressing the inherent ambiguity and uncertainty in political statements. By employing fuzzy logic, the study evaluates key rhetorical tactics such as accusation, manipulation, and criticism within the framework of Kazakh political discourse. The methodology incorporates fuzzy logic operations, including NOT, AND, and OR, to methodically assess the truthfulness and reliability of political statements, supplemented by mathematical modeling that provides practical examples from contemporary Kazakh political texts. The findings illuminate how fuzzy logic significantly enhances the comprehension of the complexities involved in political rhetoric. Additionally, the article outlines potential future research directions, such as comprehensive media analysis and public opinion studies. It underscores the significance of employing implicit logic to facilitate a more subtle and precise analysis of political discourse, thereby contributing valuable insights into the dynamics of political communication.