A novel evidence theory model and combination rule for reliability estimation of structures

Y.R. Tao, Q. Wang, L. Cao, S.Y. Duan, Z.H.H. Huang and G.Q. Cheng

Abstract

Due to the discontinuous nature of uncertainty quantification in conventional evidence theory(ET), the computational cost of reliability analysis based on ET model is very high. A novel ET model based on fuzzy distribution and the corresponding combination rule to synthesize the judgments of experts are put forward in this paper. The intersection and union of membership functions are defined as belief and plausible membership function respectively, and the Murfhy

Key Words

evidence theory; fuzzy set; combination rule; hybrid reliability

Address

Y.R. Tao, S.Y. Duan: College of Mechanical Engineering, Hebei University of Technology, Tianjin City, 300401, China Y.R. Tao, Q. Wang, L. Cao, Z.H.H. Huang and G.Q. Cheng: Department of Mechanical Engineering, Hunan Institute of Engineering, Xiangtan City 411101, China

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