|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 36 - Issue 8 |
| Published: December 2011 |
| Authors: M.Ayman Al Ahmar |
10.5120/4511-6379
|
M.Ayman Al Ahmar . An Attribute-Rule Dependency Matrix Method and its Java Implementation for Rule-Based Expert Systems Verification. International Journal of Computer Applications. 36, 8 (December 2011), 17-23. DOI=10.5120/4511-6379
@article{ 10.5120/4511-6379,
author = { M.Ayman Al Ahmar },
title = { An Attribute-Rule Dependency Matrix Method and its Java Implementation for Rule-Based Expert Systems Verification },
journal = { International Journal of Computer Applications },
year = { 2011 },
volume = { 36 },
number = { 8 },
pages = { 17-23 },
doi = { 10.5120/4511-6379 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2011
%A M.Ayman Al Ahmar
%T An Attribute-Rule Dependency Matrix Method and its Java Implementation for Rule-Based Expert Systems Verification%T
%J International Journal of Computer Applications
%V 36
%N 8
%P 17-23
%R 10.5120/4511-6379
%I Foundation of Computer Science (FCS), NY, USA
Verification of knowledge bases is an important aspect of the development procedure of rule-based expert systems. The objective of verification is to assure producing a successful intelligent computer system that reaches correct recommendations. This research introduces an attribute-rule dependency matrix verification method and its associated Java implementation program. The method can help knowledge engineers and domain experts in the automated verification process of rule-based knowledge bases for both consistency and completeness. The method can also help in the documentation of expert systems' facts and If-Then rules. A wide variety of knowledge bases has been successfully debugged and analyzed using the introduced verification method.