Skip to main navigation Skip to search Skip to main content

Knowledge fusion based on D-S theory and its application on Expert System for software fault diagnosis

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Expert systems are widely used for software fault diagnosis. Knowledge in these Expert Systems could be learned from different ways, such as human expert, machine learning and etc. The scale of the knowledge is increasing quickly, due to the development of testing tools and techniques. However, it is a big challenge to integrate the knowledge from different sources. In this paper, a novel knowledge fusion method based on D-S theory is provided to meet the challenge and its application on practical software fault diagnosis shows satisfied results.

Original languageEnglish
Title of host publicationProceedings of 2015 Prognostics and System Health Management Conference, PHM 2015
EditorsTingdi Zhao, Michael G. Pecht, Shunong Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467385534
DOIs
StatePublished - 12 Jan 2016
EventPrognostics and System Health Management Conference, PHM 2015 - Beijing, China
Duration: 21 Oct 201523 Oct 2015

Publication series

NameProceedings of 2015 Prognostics and System Health Management Conference, PHM 2015

Conference

ConferencePrognostics and System Health Management Conference, PHM 2015
Country/TerritoryChina
CityBeijing
Period21/10/1523/10/15

Keywords

  • D-S theory
  • expert system
  • knowledge fusion
  • software fault diagnosis

Fingerprint

Dive into the research topics of 'Knowledge fusion based on D-S theory and its application on Expert System for software fault diagnosis'. Together they form a unique fingerprint.

Cite this