TY - JOUR

T1 - Semantic modeling of subject domains using precedent and blurry (fuzzy) models

AU - Yakhyaeva, Gulnara

PY - 2026/1/8

Y1 - 2026/1/8

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/105027120781

UR - https://www.mendeley.com/catalogue/e0f1f134-66db-3b18-bd5f-37912dc7f994/

U2 - 10.1007/s10958-025-08152-x

DO - 10.1007/s10958-025-08152-x

M3 - Article

VL - 295

JO - Journal of Mathematical Sciences (United States)

JF - Journal of Mathematical Sciences (United States)

SN - 1072-3374

IS - 1

ER -