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Reconstruction Mechanism of Knowledge Network for Reliablity based Intelligent System Design

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2025, 21(3), pp.61~69
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : September 3, 2025
  • Accepted : September 20, 2025
  • Published : September 25, 2025

Jeong Yon Shim 1

1강남대학교

Accredited

ABSTRACT

Intelligent systems often suffer from limited reliability and flexibility of knowledge networks, which restricts their performance in dynamic environments. Previous studies contributed to knowledge storage and decision support but showed limitations in handling uncertainty. To overcome these issues, this paper proposes a reconstruction mechanism for reliability-based knowledge networks. The mechanism integrates learning, construction, and reconstruction modules, validated through simulations using expert rules. The experiments show that eliminating redundant nodes and incorporating new rules improve inference reliability. The results indicate that the proposed approach enhances system stability and adaptability, offering potential applications in reliable knowledge processing and generative AI systems.

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