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The main objective of this paper is to propose a new risk priority model for prioritizing failures in failure mode and effects analysis (FMEA) on the basis of fuzzy evidential reasoning (FER) and belief rule-based (BRB) methodology. The technique is particularly intended to resolve some of the shortcomings in fuzzy FMEA (i.e., fuzzy rule-based) approaches. In the proposed approach, risk factors like...
This paper proposes a novel fuzzy evidential rule-based (FERB) system to represent uncertain expert knowledge. The fuzzy evidential reasoning framework is introduced to model epistemic uncertainties including nonspecificity, vagueness, as well as local and global ignorance in the knowledge base. A computationally efficient formulation of the FERB system using an uncertain IF-THEN rule matrix is presented...
This paper proposes a new belief structure fuzzy inference system (FIS) that can model vagueness, ambiguity and interval uncertainties in the knowledge base. The interval belief structure is introduced to define the rules of an FIS and build uncertain knowledge. Fuzzy implication followed by extended fuzzy Dempster-Shafer combination is presented for inference in the proposed rule-based system. The...
The complexity of contemporary business organizations has caused the audit profession to radically alter their audit process over the past decade. Because of the impact of e-business partnerships, outsourcing and co-sourcing relationships, and co-dependence with business partners on the extending of the business risk faced by a client, auditors have to alter their procedures in accordance with this...
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