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Open AccessArticle

A Hierarchal Risk Assessment Model Using the Evidential Reasoning Rule

College of Information System and Management, National University of Defense Technology, Changsha 410073, China
Alliance Manchester Business School, The University of Manchester, Manchester M15 6PB, UK
Author to whom correspondence should be addressed.
Academic Editor: Ockie Bosch
Received: 3 November 2016 / Revised: 11 January 2017 / Accepted: 26 January 2017 / Published: 6 February 2017
PDF [2120 KB, uploaded 8 February 2017]


This paper aims to develop a hierarchical risk assessment model using the newly-developed evidential reasoning (ER) rule, which constitutes a generic conjunctive probabilistic reasoning process. In this paper, we first provide a brief introduction to the basics of the ER rule and emphasize the strengths for representing and aggregating uncertain information from multiple experts and sources. Further, we discuss the key steps of developing the hierarchical risk assessment framework systematically, including (1) formulation of risk assessment hierarchy; (2) representation of both qualitative and quantitative information; (3) elicitation of attribute weights and information reliabilities; (4) aggregation of assessment information using the ER rule and (5) quantification and ranking of risks using utility-based transformation. The proposed hierarchical risk assessment framework can potentially be implemented to various complex and uncertain systems. A case study on the fire/explosion risk assessment of marine vessels demonstrates the applicability of the proposed risk assessment model. View Full-Text
Keywords: risk assessment; evidential reasoning; fire/explosion risk assessment; evidential reasoning; fire/explosion

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Ji, X.; Jiang, J.; Sun, J.; Chen, Y.-W. A Hierarchal Risk Assessment Model Using the Evidential Reasoning Rule. Systems 2017, 5, 9.

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