Automated Revision of Clips Rule-bases
نویسندگان
چکیده
This paper describes CLIPS-R, a theory revision system for the revision of CLIPS rule-bases. CLIPS-R may be used for a variety of knowledge-base revision tasks, such as re ning a prototype system, adapting an existing system to slightly di erent operating conditions, or improving an operational system that makes occasional errors. We present a description of how CLIPS-R revises rule-bases, and an evaluation of the system on three rule-bases.
منابع مشابه
Revision of Production System Rule-Bases
We describe CLIPS-R, a theory revision system for the revision of CLIPS rule-bases. CLIPS-R differs from previous theory revision systems in that it operates on forward chaining production systems. Revision of production system rulebases is important because production systems can perform a variety of tasks such as monitoring and design in addition to classification tasks that have been address...
متن کاملAUTOMATED RULE-BASE CREATION via CLIPS-INDUCE
Many CLIPS rule-bases contain one or more rule groups that perform classi cation. In this paper we describe CLIPS-Induce, an automated system for the creation of a CLIPS classi cation rule-base from a set of test cases. CLIPS-Induce consists of two components, a decision tree induction component and a CLIPS production extraction component. ID3 [1], a popular decision tree induction algorithm, i...
متن کاملA CLIPS Simulator for Recognizer P Systems with Active Membranes
In this paper we propose a new way to represent recognizer P systems with active membranes based on Production Systems techniques. This representation allows us to express the set of rules and the configurations in each step of the evolution as facts in a knowledge base. We provide a CLIPS program to simulate the evolutions of this variant of P systems.
متن کاملR-DEVICE: An Object-Oriented Knowledge Base System for RDF Metadata
In this paper we present R-DEVICE, a deductive object-oriented knowledge base system for reasoning over RDF metadata. R-DEVICE imports RDF documents into the CLIPS production rule system by transforming RDF triples into COOL objects and uses a deductive rule language for reasoning about them. R-DEVICE is based on an OO RDF data model, different than the established triple-based model, which map...
متن کاملFuzzy Apriori Rule Extraction Using Multi-Objective Particle Swarm Optimization: The Case of Credit Scoring
There are many methods introduced to solve the credit scoring problem such as support vector machines, neural networks and rule based classifiers. Rule bases are more favourite in credit decision making because of their ability to explicitly distinguish between good and bad applicants.In this paper multi-objective particle swarm is applied to optimize fuzzy apriori rule base in credit scoring. ...
متن کامل