Applications of Belief Functions in Business Decisions: A Review

Rajendra Prasad Srivastava · Liping Liu

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Multi-Criteria Decision Making Decision Support System Applications Bayesian Modeling and Causal Inference

Abstract

In this paper, we review recent applications of the Dempster-Shafer theory (DST) of belief functions to auditing and business decision-making. We show how DST can better map uncertainties in application domains than Bayesian theory of probabilities. We review the applications in auditing around three practical problems that challenge the effective application of DST, namely, hierarchical evidence, versatile evidence, and statistical evidence. We review the applications in other business decisions in two loose categories: judgment under ambiguity and business model combination. Finally, we show how the theory of linear belief functions, a new extension to DST, can provide an alternative solution to a wide range of business problems.

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1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 1961Risk, Ambiguity, and the Savage Axioms 2015Methods of Meta-Analysis: Correcting Error and Bias in Research Findings 1991Methods of Meta-Analysis: Correcting Error and Bias in Research Findings.1992Order effects in belief updating: The belief-adjustment model 1990The combination of evidence in the transferable belief model 1990Constructing the Pignistic Probability Function in a Context of Uncertainty 2019Consideration of Fraud in a Financial Statement Audit

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