REDUCING RISK IN THE ENTERPRISE - Proposal for a Hybrid Audit Expert System

Susan Clemmons, Kenneth Henry

Abstract

This paper theorizes the use of a hybrid expert system to support a complete audit of financial statements for an enterprise. The expert system proposed would support the audit process by using two types of artificial intelligence technologies: case-based reasoning and fuzzy logic technologies. The case base and automated reasoning recommendations would give the auditing firm another insight on the audit. Unlike previous audit expert systems, this system is intended to focus broadly on an enterprise’s entire financial statement audit process; it combines a case based knowledge representation with fuzzy logic processing. The attempt at capturing a wide domain is necessary to support organizational decision-making. Focusing on narrow decision points within an audit process limits the users and usefulness of the system.

References

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Paper Citation


in Harvard Style

Clemmons S. and Henry K. (2005). REDUCING RISK IN THE ENTERPRISE - Proposal for a Hybrid Audit Expert System . In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-19-8, pages 260-266. DOI: 10.5220/0002540702600266


in Bibtex Style

@conference{iceis05,
author={Susan Clemmons and Kenneth Henry},
title={REDUCING RISK IN THE ENTERPRISE - Proposal for a Hybrid Audit Expert System},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2005},
pages={260-266},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002540702600266},
isbn={972-8865-19-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - REDUCING RISK IN THE ENTERPRISE - Proposal for a Hybrid Audit Expert System
SN - 972-8865-19-8
AU - Clemmons S.
AU - Henry K.
PY - 2005
SP - 260
EP - 266
DO - 10.5220/0002540702600266