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<p>We propose an approach to semantic modeling based on the four-level framework for knowledge representation. The method constructs a precedent model at the empirical level using precedent knowledge and then fuzzifies it to obtain statistical knowledge at the fourth level. We introduce the mathematical framework for reconstructing a set of precedents from subjective expert assessments and and outlines the characteristics of blurry models. Bibliography&#xa0;:&#xa0; 9 titles.</p>

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SEMANTIC MODELING OF SUBJECT DOMAINS USING PRECEDENT AND BLURRY (FUZZY) MODELS

  • 期刊论文

  • 发表日期：

    2025年11月1日

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  • Gulnara Yakhyaeva

摘要

We propose an approach to semantic modeling based on the four-level framework for knowledge representation. The method constructs a precedent model at the empirical level using precedent knowledge and then fuzzifies it to obtain statistical knowledge at the fourth level. We introduce the mathematical framework for reconstructing a set of precedents from subjective expert assessments and and outlines the characteristics of blurry models. Bibliography :  9 titles.