A conflict resolution model using logic scoring of preference for expert systems

An Expert System is a type of system that usually has a knowledge base containing accumulated experience and a set of rules for applying the knowledge base to each particular solution. It is an Artificial Intelligence Based System that performs task that otherwise is performed by a human expert. A p...

Full description

Saved in:
Bibliographic Details
Main Author: Africa, Aaron Don M.
Format: text
Published: Animo Repository 2013
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/9829
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
Description
Summary:An Expert System is a type of system that usually has a knowledge base containing accumulated experience and a set of rules for applying the knowledge base to each particular solution. It is an Artificial Intelligence Based System that performs task that otherwise is performed by a human expert. A problem with these systems is that it may output several Possible Causes for a set of Symptoms. In return, the user will still have a coarse time in doing diagnostic procedures. A solution to this problem is to apply a Conflict Resolution model. This paper presents a Conflict Resolution model using Logic Scoring of Preference (LSP) to be used in an Expert System for Information System Communication Networks. This can aide the user in diagnostic procedures and reduce trial and error.