Knowledge Acquisition Based on Repertory Grid Analysis System

Sabai Win; Be Nue

Title:
Knowledge Acquisition Based on Repertory Grid Analysis System

Authors:
Be Nue | Sabai Win

Cite This Article :

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, pp.417-420, URL: https://www.ijtsrd.com/papers/ijtsrd29128.pdf

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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.

Keywords :
Knowledge Acquisition Methods, Repertory Grid Analysis

Publication Details:

Unique Identification Number : IJTSRD29128

Published In : Volume-3 | Issue-6, October 2019

Page Number(s) : 417-420

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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