.png){kind=icon}
Return
A general rule structure
.png){kind=icon}
PRE
AI
DOI：10.1016/S0950-5849(02)00028-9.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this paper, we present a theoretical development of a new rule structure called general rule structure (GRS). GRS is a rule structure based on the ideas of variable precision logic (VPL) rules and ripple down rules. GRS can be application independent and comprehensible (understandable). The term 'general' used in GRS indicates that the developed rule structure takes care of generality in terms of application and reasoning process (forward and backward chaining). GRS can be used for real time applications, control applications (from the characteristics of VPL) and standard rule-based expert system applications. Based on hierarchical censored production rule, GRS can give more certain and specific answers, whenever time permits. GRS can be easily used in directing the system to decide, which rule should be checked next if the currently checked rule is failed. One of the main advantages of the GRS structure is the simplicity to train it; therefore, the system can determine the most commonly used rules. This would reduce the time consumed for finding the proper rule to be fired. (C) 2002 Elsevier Science B.V. All rights reserved.
Keywords:
variable precision logic
hierarchical censored production rule
ripple down rule
expert systems
rule-based system
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.3
Papers:
3.8K
Citations:
7.7K
Organization
No organization information available
.png){kind=icon}
