Title

An expert system for information system communication network diagnostics

Date of Publication

2012

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Electronics and Communications Engineering

Subject Categories

Engineering

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Abstract/Summary

In Information System Communication Networks diagnostics, delays in troubleshooting happen when there is incomplete information. Diagnostics is a straightforward process if the information is complete enough to deduce the possible causes but there are cases when the information is insufficient to deduce the possible cause. In certain cases, it is possible to design an Expert System algorithm that can create diagnostic rules even if the inputted information is incomplete using Rough Set Theory. The design of this Expert System algorithm was done by developing a Theorem to help on formulating the Data Structures. The Data Structures satisfy the conditions of the Theorem. Thus, the Expert System can output the correct possible cause even if the inputted symptoms are incomplete. The Expert System algorithm created diagnostic rules and the rules are verified giving a 100% validity by using the test developed by Preece. The possible causes outputted by the Expert System were verified by comparing these with historical data which gave a 92% score. A 93.3% score was obtained when testing the possible cause outputted by the Expert System with the validating data provided by the human experts. This research developed an Expert System algorithm that can handle incomplete information.

Abstract Format

html

Language

English

Format

Electronic

Accession Number

CDTG005282

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

1 computer optical disc ; 4 3/4 in.

Keywords

Expert systems (Computer science); Rough sets

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