Development of fuzzy ontology for explainable artificial intelligence for decision-making in fuzzy environment

Pavel Kosov

Кимёвий технология. Назорат ва бошқарув · 2025-yil

Annotatsiya

In modern artificial intelligence systems, there is an acute need to understand the decision-making logic of "black box" algorithms. Our research proposes an innovative method for increasing the transparency of such systems through the formalization of fuzzy explanatory mechanisms. We have developed an extension of existing ontological approaches by introducing the concept of fuzziness into the structure of explanatory properties, which allows overcoming the fundamental limitations of traditional XAI methods. The proposed formalization is based on the theory of collective mental models and principles of fuzzy logic, providing a more accurate reflection of uncertainty and subjectivity in expert knowledge. Our approach establishes quantitative indicators of explanation credibility through degrees of fuzzy membership in OWL2 ontology, allowing users to evaluate the reliability of each element in the logical inference chain. Application of the developed methodology to the student performance assessment task demonstrates its practical value. An important component of our work was the development of criteria for the effectiveness of explanatory properties, covering aspects of accessibility, flexibility, and compatibility with the open world assumption. The system architecture is based on specialized models for each property, ensuring precise identification of relevant characteristics. The developed approach is particularly effective in areas where binary logic cannot express the complexity of domain knowledge. The proposed evaluation methods include analysis of semantic consistency and representational adequacy. Promising research directions include adapting the system to visual data and integration with neuro-symbolic computations.

Maqola ma’lumotlari
MualliflarPavel Kosov
JurnalКимёвий технология. Назорат ва бошқарув
NashriyotТошкент давлат техника университети, «Ўзқурилишматериаллар» ДАК, «Ўзкимёсаноат» ДАК, «Совпластитал» ҚҚ, Ўзбекистон Интеллектуал мулк агентлиги
ISSN2181-1105, 1815-4840
Nashr sanasi2025-04-30
Jild2025
Son2
Betlar19-26
TilIngliz
DOI10.59048/2181-1105.1682
Indeksga qo‘shilgan2026-09-02

DOI: 10.59048/2181-1105.1682 · Maqolaning asl sahifasi · PDF

Iqtibos keltirish

APAPavel Kosov (2025). DEVELOPMENT OF FUZZY ONTOLOGY FOR EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR DECISION-MAKING IN FUZZY ENVIRONMENT. Кимёвий технология. Назорат ва бошқарув, 2025(2), 19-26. https://doi.org/10.59048/2181-1105.1682
GOST (OAK)Pavel Kosov DEVELOPMENT OF FUZZY ONTOLOGY FOR EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR DECISION-MAKING IN FUZZY ENVIRONMENT // Кимёвий технология. Назорат ва бошқарув. – 2025. – T. 2025, № 2. – P. 19-26. – DOI: 10.59048/2181-1105.1682.
MLAPavel Kosov. “DEVELOPMENT OF FUZZY ONTOLOGY FOR EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR DECISION-MAKING IN FUZZY ENVIRONMENT.” Кимёвий технология. Назорат ва бошқарув, 2025(2), 19-26, 2025. https://doi.org/10.59048/2181-1105.1682
ChicagoPavel Kosov. “DEVELOPMENT OF FUZZY ONTOLOGY FOR EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR DECISION-MAKING IN FUZZY ENVIRONMENT.” Кимёвий технология. Назорат ва бошқарув, 2025(2), 19-26 (2025). https://doi.org/10.59048/2181-1105.1682
HarvardPavel Kosov (2025) ‘DEVELOPMENT OF FUZZY ONTOLOGY FOR EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR DECISION-MAKING IN FUZZY ENVIRONMENT’, Кимёвий технология. Назорат ва бошқарув, 2025(2), 19-26. https://doi.org/10.59048/2181-1105.1682
BibTeX
@article{pavelkosov2025,
  title = {DEVELOPMENT OF FUZZY ONTOLOGY FOR EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR DECISION-MAKING IN FUZZY ENVIRONMENT},
  author = {Pavel Kosov},
  journal = {Кимёвий технология. Назорат ва бошқарув},
  year = {2025},
  volume = {2025},
  number = {2},
  pages = {19-26},
  doi = {10.59048/2181-1105.1682},
  url = {https://doi.org/10.59048/2181-1105.1682}
}

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