Paper
20 February 2024 Development and management of product knowledge base
E. Rustamov, D. T. Muhamediyeva, L. U. Safarova
Author Affiliations +
Proceedings Volume 13065, Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023); 130650W (2024) https://doi.org/10.1117/12.3025073
Event: Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023), 2023, Dushanbe, Tajikistan
Abstract
The design and management of a product knowledge base (PKB) brings forward important aspects in the field of information technology. This article discusses strategies for creating and effectively managing a system based on production rules. The theoretical and practical foundations of PBP design are analyzed, with attention paid to the generation of knowledge from voluminous information data. The paper proposes an algorithm for structuring a subject area through its description using knowledge, which serves as the basis for creating a production knowledge base. The paper highlights the issue of the need to develop algorithms for determining information sets with cause and effect properties, aimed at eliminating subjectivity in the formation of the subject area and information sets. The process of formalizing the concepts of “data” and “information” builds an analytical definition of “knowledge”. In this work, based on production knowledge, the concept of “fractality of knowledge” is introduced, and an algorithm for designing a fractal production knowledge base (FPKB) is proposed. The control algorithm of the FPBZ is also presented, and the decision-making procedure is based on the evaluation algorithm (ABO), designed to give the system universality in the sense of its functionality.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
E. Rustamov, D. T. Muhamediyeva, and L. U. Safarova "Development and management of product knowledge base", Proc. SPIE 13065, Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023), 130650W (20 February 2024); https://doi.org/10.1117/12.3025073
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KEYWORDS
Fractal analysis

Algorithm development

Intelligence systems

Design

Decision making

Ischemic stroke

Data processing

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