Traditional risk assessment methods, such as the probabilistic methods, are not effectively used in the construction works of a deep foundation pit (DFP) when data set collected are incomplete or vague input takes place. A new method based on fuzzy evidential reasoning approach is proposed in this paper to assess the overall risk level of a DFP construction project. Firstly, the method defines risks as the products of occurrence likelihood multiplying consequence severity, which is further depicted by trapezoidal fuzzy numbers. Thereafter, the fuzzy analytical hierarchy process is adopted to calculate the weighs of different hazardous events that may occur in a DFP construction project. The overall risk level of a DFP project therefore could be achieved through aggregating the risk level of all hazardous events based on evidential reasoning algorithm. However, due to the existence of intersections among more than two continuous fuzzy evaluation grades rather than between two adjacent grades, the prevailing aggregation method is not suitable any more. So, a new aggregated probability mass along with the reassigning method in relation to the degree of belief belonging to the fuzzy intersection of two grades is thus put forward in this paper, as a result to make the evidential reasoning possible. A case study on risk assessment of the DFP of underground traffic project of Zhengzhou comprehensive transportation hub in China is introduced to illustrate the application of the proposed method. The result indicates that the overall risk level of a DFP project could be assessed effectively under the scenario that more than two continuous fuzzy evaluation grades intersect rather than only two adjacent grades. Moreover, comparing with the traditional methods, the result obtained in the case study by using the proposed method seems to be more reasonable.
The article makes a comparative research on the effect of leader supporting, interpersonal relationship, knowledge sharing mechanisms and organizational incentive on the formal and informal knowledge sharing in the project context. Through the establishment of structural equation model, some conclusions have been reached as follows: Firstly, leader supporting positively influences both formal and informal knowledge sharing, whereas the interpersonal relationship partly mediates between leader supporting and informal knowledge sharing; Moreover, the interpersonal relationship has a significant effect on both formal and informal knowledge sharing; Sharing mechanisms can significantly promote formal knowledge sharing, but there is no direct impact on informal side. Instead, the interpersonal relationship plays a fully mediating role between sharing mechanism and informal sharing; Finally, organizational incentive has a significant promotion on formal sharing, but negatively influences the informal sharing.
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