A Novel Risk Matrix Approach Based on Cloud Model for Risk Assessment Under Uncertainty

The fuzziness and randomness are significant epistemic uncertainty within the qualitative categorization of two critical factors, frequency severity, which not fully considered in traditional risk matrix. This paper mainly proposes a cloud matrix method for assessment process safety considering expert elicitation. model is employed to provide mathematical expression linguistic variables by its numerical characteristics entropy En hyperentropy He. An adjusted Mamdani inference algorithm constructed determination an integrated given value input variables. And centroid improved be adapted calculation index from enormous droplets cloud. A case study distillation column unit performed illustrate detail, validity rationality verified contrast results fuzzy Results indicate proposed can handle concepts, more suitable practical condition. Moreover, effect He on also investigated discussed reference parameter selection. effective tool wide range engineering fields.