Decision Support System for Shadow Mask Development Using Rule and Case

Authors:
Honggee Jin;Minsung Kim;Sabum Jung;Keymok Shon;Hyungtae Ha;Byungjin Ye;Jiwon Jo
Affiliations:
-;-;-;-;-;-;-
Venue:
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Year:
2001

Citing 3
Cited 0

Case-based reasoning

Case-based reasoning
Improving accuracy by combining rule-based and case-based reasoning

Artificial Intelligence
Human-centered knowledge acquisition: a structural learning theory approach

International Journal of Human-Computer Studies

Quantified Score

Hi-index	0.00

Visualization

Abstract

The knowledge-based system using rules and cases has been applied in many fields and studies. This paper introduces knowledge based system for design of the master pattern to manufacture a shadow mask(part of CRT). The System gives a useful information for design on the basis of rules and cases that are made from designer's knowhow and past design pattern. We used pseudo-hybrid expert system (PHES) using rule-based reasoning (RBR) and case-based reasoning (CBR) appropriately. So, this system can perform its function by using a variety of useful knowledge acquisition.