Artificial Intelligence Enriching Contributions from Multiple Perspectives in Ancient Text Analysis

The analysis of ancient texts holds immense importance as it offers insights into cultural, historical, and philosophical dimensions of societies. However, the vastness and complexity of these texts pose significant challenges for scholars and researchers. Artificial Intelligence (AI) emerges as a transformative tool in this field, aiding in deciphering and interpreting complex linguistic structures, archaic languages, and symbolic references embedded in these texts. AI-based algorithms facilitates semantic analysis, revealing nuanced meanings and contextual relationships within the scriptures. Moreover, these tools can identify patterns, trends, and correlations across various texts, contributing to a deeper comprehension of shared ideologies and divergent beliefs. Recognizing the diverse nature of ancient texts and the complex tasks involved in their analysis, the usefulness of developing a decision support system becomes evident. This system could assist scholars in selecting the most suitable AI tools based on specific criteria such as language proficiency, historical context relevance, and textual complexity. By incorporating a decision support system, researchers can streamline their approach, ensuring optimal utilization of AI resources and enhancing the efficiency of their analyses. With this perspective, the present paper aims to propose a fuzzy multi-criteria decision-making technique to underline the synergy between AI and ancient text analysis while considering input data uncertainty.