Using Cloud Model to Improve the Membership Function in Fuzzy Risk Assessment of Reservoir-Induced Seismicity

Abstract:

Due to the uncertainty and complexity of the causes in reservoir-induced seismicity, the relationship between the environmental factor and the possible earthquake magnitude can be described by membership function. This study aims to propose a fuzzy method to contribute the membership function in which the normal cloud model is applied. Firstly, the cloud model is introduced in detail. Based on normal cloud model, the one-to-many mapping model is presented to deal with the fuzziness and randomness in the membership function. Finally, the case study in Yangtze Three Gorges Reservoir is presented to illustrate the membership cloud function in fuzzy risk assessment of reservoir-induced seismicity. The obtained results show that the proposed method is the viable approaches in solving the problem when the memberships are vague and imprecise.

• Periodical: Advanced Materials Research (Volume 664)
• Pages: 270-275
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.664.270
• Online since: February 2013
• Authors: Ming Zhong, Qiu Wen Zhang
• Keywords: Cloud Model, Fuzzy Risk Assessment, Membership Function, Reservoir-Induced Seismicity, Uncertainty

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