Knowledge Acquisition Based on Repertory Grid Analysis System

Abstract

This paper is to introduce an approach to the repertory grids are a well known knowledge acquisition and representation techniques based on the personal construct theory. The repertory grid analysis is the most applied method of semi automated interviews used in AI. Several software packages that use RGA improve the knowledge acquisition process. Repertory grid has the cognitive psychological basis and generality needed to provide excellent elicitation and acquisition facilities. Repertory grids are used as knowledge acquisition tools in the development of expert system. The rating of knowledge acquisition is gaining insight into expert's mental model of the problem. This system gives knowledge using development of knowledge acquisition methods based on repertory grid analysis. This system helps user to recommend which products are most similar. Be Nue | Sabai Win "Knowledge Acquisition Based on Repertory Grid Analysis System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29128.pdf Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/29128/knowledge-acquisition-based-on-repertory-grid-analysis-system/be-nue

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  • EP ID EP670937
  • DOI -
  • Views 134
  • Downloads 0

How To Cite

(2016). Knowledge Acquisition Based on Repertory Grid Analysis System. International Journal of Trend in Scientific Research and Development, 1(1), 417-420. https://europub.co.uk/articles/-A-670937