Representation and decomposition of complex decision-making tasks are bottleneck problem of complex task decision. This paper uses multi-agent technology to construct an agent organization-based distributed intelligen...Representation and decomposition of complex decision-making tasks are bottleneck problem of complex task decision. This paper uses multi-agent technology to construct an agent organization-based distributed intelligence decision support system (AOBDIDSS) structure model,applies generalized decision function (GDF) to the decomposition of decision task specifications, and determines decomposition criteria and properties of decision task specifications based on GDF. Because the task decomposition based on GDF is equivalent to the decomposition of Bayesian network, we present the representation and decomposition methods of decision tasks and properties based on Bayesian network. On these bases, the decision task decomposition problems can be entailed basically to construct a multi-sectioned Bayesian network and sub-Bayesian networks related to decision task specifications. The method is used to analyze the representation and decomposition of decision tasks in medical diagnosis. The results show that the model and method is not only feasible, but also effective and novel.展开更多
This paper develops two models to investigate the effect of team leader positive affectivity （PA） on team member turnover intention and team organizational citizenship behavior （OCB）, at the individual and team le...This paper develops two models to investigate the effect of team leader positive affectivity （PA） on team member turnover intention and team organizational citizenship behavior （OCB）, at the individual and team levels, respectively. A two-wave longitudinal study was conducted involving a survey of 58 team leaders and 174 team members in a large Chinese telecom company across a three-month period. We found that team members＇ organization-based self-esteem （OBSE） at Time 1 mediates the relationship between team leader PA at Time 1 and team member turnover intention at Time 2, whereas team aggregated OBSE at Time 1 mediates the relationship between leader PA at Time1 and team OCB at Time 2.展开更多
文摘Representation and decomposition of complex decision-making tasks are bottleneck problem of complex task decision. This paper uses multi-agent technology to construct an agent organization-based distributed intelligence decision support system (AOBDIDSS) structure model,applies generalized decision function (GDF) to the decomposition of decision task specifications, and determines decomposition criteria and properties of decision task specifications based on GDF. Because the task decomposition based on GDF is equivalent to the decomposition of Bayesian network, we present the representation and decomposition methods of decision tasks and properties based on Bayesian network. On these bases, the decision task decomposition problems can be entailed basically to construct a multi-sectioned Bayesian network and sub-Bayesian networks related to decision task specifications. The method is used to analyze the representation and decomposition of decision tasks in medical diagnosis. The results show that the model and method is not only feasible, but also effective and novel.
文摘This paper develops two models to investigate the effect of team leader positive affectivity （PA） on team member turnover intention and team organizational citizenship behavior （OCB）, at the individual and team levels, respectively. A two-wave longitudinal study was conducted involving a survey of 58 team leaders and 174 team members in a large Chinese telecom company across a three-month period. We found that team members＇ organization-based self-esteem （OBSE） at Time 1 mediates the relationship between team leader PA at Time 1 and team member turnover intention at Time 2, whereas team aggregated OBSE at Time 1 mediates the relationship between leader PA at Time1 and team OCB at Time 2.
