Abstract: In order to include interactive relationships between risk criteria and psychological behaviors of decision-makers into consideration for risk assessment of subway train door system, a Fine-Kinney risk assessment model based on Choquet integral and TODIM is proposed. Firstly, uncertainties of assessment information were characterized by linguistic terms, then a maximizing deviation model was established to determine weights of decision-makers and a comprehensive decision matrix was integrated by interval 2-tuple weighted average operators. Secondly, importance of risk criteria was calculated based on similarity degree, and risk priority of hazardous events was derived by combing Choquet integral and TODIM approach. Thirdly, effectiveness and feasibility of the proposed model were demonstrated with an example of electrical control device of subway train door system. Finally, sensitivity analysis for criteria importance was carried out and comparison was made between this model and three other methods including TODIM, TOPSIS, and Choquet-TODIM. The results indicate that failure of electronic door control unit (EDCU) function presents the highest risk while loose of EDCU plug makes the lowest one. Compared with other methods, this proposed model can effectively describe interaction between risk criteria and psychological behaviors of decision makers.

Key words: subway train door system, Fine-Kinney method, Choquet integral, an acronym in portuguese for interactive and multi-criteria decision making(TODIM), risk assessment