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Mathematical Problems in Engineering
Volume 2017 (2017), Article ID 7908737, 16 pages
Research Article

A Hybrid Approach for Evaluating Faulty Behavior Risk of High-Risk Operations Using ANP and Evidence Theory

1Hubei Key Laboratory of Construction and Management in Hydropower Engineering, China Three Gorges University, Yichang 443002, China
2Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Huazhong University of Science & Technology, Wuhan, Hubei 430074, China

Correspondence should be addressed to Jian-Lan Zhou; moc.361@9991ljuohz

Received 22 March 2017; Revised 27 June 2017; Accepted 19 July 2017; Published 24 August 2017

Academic Editor: Danielle Morais

Copyright © 2017 Xia-Zhong Zheng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Hydropower project construction is a high-risk operation, where accidents occur frequently. Moreover, the factors leading to accidents are often human factors, so safety evaluation of these factors for the hydropower projects’ work system is very significant. The Human Factors Analysis and Classification System (HFACS) framework is applied to build evaluation system. In the evaluation process, correlation analysis is used to form the intercriteria analysis matrix that helps the decision makers to build impact relation matrix. Factor weights are calculated by the Analytic Network Process (ANP). In the index value determination step, the evidence theory is used to eliminate the conflicts of three decision makers and the index values are then calculated. The faulty behavior risk (FBR) assessment value is finally obtained. The proposed method is practical and its applicability is proved by an example.