The Dempster-Shafer Theory of Belief Functions for Managing Uncertainties: An Introduction and Fraud Risk Assessment Illustration
نویسندگان
چکیده
The main purpose of this paper is to introduce the Dempster-Shafer theory (“DS” theory) of belief functions for managing uncertainties, specifically in the auditing and information systems domains. We illustrate the use of DS theory by deriving a fraud risk assessment formula for a simplified version of a model developed by Srivastava, Mock, and Turner (2007). In our formulation, fraud risk is the normalized product of four risks: risk that management has incentives to commit fraud, risk that management has opportunities to commit fraud, risk that management has an attitude to rationalize committing fraud, and the risk that auditor’s special procedures will fail to detect fraud. We demonstrate how to use such a model to plan for a financial audit where management fraud risk is assessed to be high. In addition, we discuss whether audit planning is better served by an integrated audit/fraud risk assessment as now suggested in SAS 107 (AICPA 2006a, see also ASA 200 in AUASB 2007) or by the approach illustrated in this paper where a parallel, but separate, assessment is made of audit risk and fraud risk.
منابع مشابه
Project Risk Assessment Framework
This study presents a framework for calculating the risk of various projects, especially projects under uncertain circumstances. First, the related literature is reviewed and then the relationship between risk and projects is examined. Using a case study an approach is provided to determine the project risk in uncertain circumstances where sufficient data is not available for decision-making. I...
متن کاملProject Risk Assessment Framework
This study presents a framework for calculating the risk of various projects, especially projects under uncertain circumstances. First, the related literature is reviewed and then the relationship between risk and projects is examined. Using a case study an approach is provided to determine the project risk in uncertain circumstances where sufficient data is not available for decision-making. I...
متن کاملA Sensor-Based Scheme for Activity Recognition in Smart Homes using Dempster-Shafer Theory of Evidence
This paper proposes a scheme for activity recognition in sensor based smart homes using Dempster-Shafer theory of evidence. In this work, opinion owners and their belief masses are constructed from sensors and employed in a single-layered inference architecture. The belief masses are calculated using beta probability distribution function. The frames of opinion owners are derived automatically ...
متن کاملbelief function and the transferable belief model
Beliefs are the result of uncertainty. Sometimes uncertainty is because of a random process and sometimes the result of lack of information. In the past, the only solution in situations of uncertainty has been the probability theory. But the past few decades, various theories of other variables and systems are put forward for the systems with no adequate and accurate information. One of these a...
متن کاملAn Information Systems Security Risk Assessment Model under Dempster-Shafer Theory of Belief Functions
This study develops an alternative methodology for the risk analysis of information systems security (ISS), an evidential reasoning approach under the Dempster-Shafer theory of belief functions. The approach has the following important dimensions. First, the evidential reasoning approach provides a rigorous, structured manner to incorporate relevant ISS risk factors, related counter measures an...
متن کامل