APPLICATION OF THE ALGORITHM FOR ENRICHMENT THE KNOWLEDGE GRAPH WITH NUMERICAL PREDICATES IN DECISION-MAKING SUPPORT SYSTEM

Authors

  • Dilmurod Khasanov Tashkent University of Information and Technologies
  • Nodir Rakhimov Tashkent University of Information Technologies
  • Usnatdin Xafizadinov Tashkent University of Information Technologies

Keywords:

Expert systems, knowledge base, first order logic, partial completeness assumption, numerical predicate, rule generator, intelligent systems, numerical rule

Abstract

In this paper, the theoretical and practical principles of creating a knowledge graph by forming a set of rules for expert systems are studied. At the same time, the method of enriching the graph made from the predicates created according to First Order Logic by numerical predicates was studied. as the object of the research, the classification problem of selecting crops for repeated cropping was taken, among which, using the set of real data collected in agriculture, test-experimental work was carried out on the algorithm mentioned above and the results were obtained. All results were presented in table and graph form.

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Published

2024-09-11

How to Cite

Khasanov, D., Rakhimov, N., & Xafizadinov, U. (2024). APPLICATION OF THE ALGORITHM FOR ENRICHMENT THE KNOWLEDGE GRAPH WITH NUMERICAL PREDICATES IN DECISION-MAKING SUPPORT SYSTEM. DTAI – 2024, 1(DTAI), 55–59. Retrieved from https://dtai.tsue.uz/index.php/DTAI2024/article/view/dilmurot2