Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)

Knowledge-based Auto Repair Diagnosis System and Application

Authors
Xiaofen Fang, Kunli Fang
Corresponding Author
Xiaofen Fang
Available Online July 2013.
DOI
10.2991/cse.2013.9How to use a DOI?
Keywords
knowledge management; Expert system; artificial Intelligence; repair diagnostic system
Abstract

Auto repair is a process which solves the problem iteratively and constantly. It is required to establish the knowledge base model and the inference base model. Meanwhile, it develops the knowledge-based auto repair diagnostic system through the integration of the auto repair experience and the repair process. Afterwards, the repair time can be effectively shortened and the repair complexity can be reduced. Finally, the rapid repair and the efficient service will be achieved.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
July 2013
ISBN
10.2991/cse.2013.9
ISSN
1951-6851
DOI
10.2991/cse.2013.9How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaofen Fang
AU  - Kunli Fang
PY  - 2013/07
DA  - 2013/07
TI  - Knowledge-based Auto Repair Diagnosis System and Application
BT  - Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
PB  - Atlantis Press
SP  - 33
EP  - 36
SN  - 1951-6851
UR  - https://doi.org/10.2991/cse.2013.9
DO  - 10.2991/cse.2013.9
ID  - Fang2013/07
ER  -