A decision-making problem of missile-target assignment with a novel particle swarm optimization algorithm is proposed when it comes to a multiple target collaborative combat situation.The threat function is establishe...A decision-making problem of missile-target assignment with a novel particle swarm optimization algorithm is proposed when it comes to a multiple target collaborative combat situation.The threat function is established to describe air combat situation.Optimization function is used to find an optimal missile-target assignment.An improved particle swarm optimization algorithm is utilized to figure out the optimization function with less parameters,which is based on the adaptive random learning approach.According to the coordinated attack tactics,there are some adjustments to the assignment.Simulation example results show that it is an effective algorithm to handle with the decision-making problem of the missile-target assignment(MTA)in air combat.展开更多
Multi-professional collaboration is being promoted worldwide as a response to the need for sophisticated medical care and for catering to patients’ diverse needs. Patients in Intensive Care Units (ICUs) are seriously...Multi-professional collaboration is being promoted worldwide as a response to the need for sophisticated medical care and for catering to patients’ diverse needs. Patients in Intensive Care Units (ICUs) are seriously ill, and their families may be at risk depending on the patient’s situation. Considering these characteristics of patients and families, there is a strong need for multi-professional collaboration within ICUs. The purpose of this descriptive study was to examine recognition and other factors related to collaboration and satisfaction involving care decisions in Japanese ICUs. A mail survey about collaboration of activities and systems was sent to physicians, clinical engineers, and nurses working in ICUs in Japan, 387 consented to participate in this study. Results showed that satisfaction scores were generally high among the three aforementioned professions, but collaboration scores on deciding care for patients showed significant differences (p < 0.05). The total collaboration score was the highest among physicians (36.7 ± 6.7 points), followed by nurses (32.8 ± 7.4 points), and CEs (32.8 ± 7.4 points). The factors that commonly affected collaboration scores were the satisfaction score and the ability to collaborate with other professionals and set team medical care as a goal. Moreover, it is worth noting that the degree of difficulty in collaboration negatively affected this factor. On the other hand, other factors differed among the three professions, suggesting that the purpose and need for collaboration differ depending on the profession.展开更多
伴随市场环境的复杂多变,高端装备制造业必须通过协同创新来增强技术实力及提高创新成效,其中伙伴选择是其实现创新的关键一步。首先,分析总结伙伴选择评价指标相关文献,并结合高端装备制造业协同创新发展需求,从互补性、兼容性、创新...伴随市场环境的复杂多变,高端装备制造业必须通过协同创新来增强技术实力及提高创新成效,其中伙伴选择是其实现创新的关键一步。首先,分析总结伙伴选择评价指标相关文献,并结合高端装备制造业协同创新发展需求,从互补性、兼容性、创新资源、创新能力、创新环境、声誉与信任及技术水平这7个维度,建立了高端装备制造业协同创新伙伴选择指标体系;然后,考虑到高端装备制造业的复杂性及专家评价的模糊性,在概率犹豫模糊环境下,构建基于可能度的平均解距离法(evaluation based on distance from average solution,EDAS)群决策评价模型,并将其应用到该指标体系下的协同创新伙伴选择中;最后,通过一个算例,对该研究方法加以验证,为高端装备制造业进行协同创新伙伴选择提供一定的参考。展开更多
基金jointly granted by the Science and Technology on Avionics Integration Laboratory and the Aeronautical Science Foundation of China (No. 2016ZC15008)
文摘A decision-making problem of missile-target assignment with a novel particle swarm optimization algorithm is proposed when it comes to a multiple target collaborative combat situation.The threat function is established to describe air combat situation.Optimization function is used to find an optimal missile-target assignment.An improved particle swarm optimization algorithm is utilized to figure out the optimization function with less parameters,which is based on the adaptive random learning approach.According to the coordinated attack tactics,there are some adjustments to the assignment.Simulation example results show that it is an effective algorithm to handle with the decision-making problem of the missile-target assignment(MTA)in air combat.
文摘Multi-professional collaboration is being promoted worldwide as a response to the need for sophisticated medical care and for catering to patients’ diverse needs. Patients in Intensive Care Units (ICUs) are seriously ill, and their families may be at risk depending on the patient’s situation. Considering these characteristics of patients and families, there is a strong need for multi-professional collaboration within ICUs. The purpose of this descriptive study was to examine recognition and other factors related to collaboration and satisfaction involving care decisions in Japanese ICUs. A mail survey about collaboration of activities and systems was sent to physicians, clinical engineers, and nurses working in ICUs in Japan, 387 consented to participate in this study. Results showed that satisfaction scores were generally high among the three aforementioned professions, but collaboration scores on deciding care for patients showed significant differences (p < 0.05). The total collaboration score was the highest among physicians (36.7 ± 6.7 points), followed by nurses (32.8 ± 7.4 points), and CEs (32.8 ± 7.4 points). The factors that commonly affected collaboration scores were the satisfaction score and the ability to collaborate with other professionals and set team medical care as a goal. Moreover, it is worth noting that the degree of difficulty in collaboration negatively affected this factor. On the other hand, other factors differed among the three professions, suggesting that the purpose and need for collaboration differ depending on the profession.
文摘伴随市场环境的复杂多变,高端装备制造业必须通过协同创新来增强技术实力及提高创新成效,其中伙伴选择是其实现创新的关键一步。首先,分析总结伙伴选择评价指标相关文献,并结合高端装备制造业协同创新发展需求,从互补性、兼容性、创新资源、创新能力、创新环境、声誉与信任及技术水平这7个维度,建立了高端装备制造业协同创新伙伴选择指标体系;然后,考虑到高端装备制造业的复杂性及专家评价的模糊性,在概率犹豫模糊环境下,构建基于可能度的平均解距离法(evaluation based on distance from average solution,EDAS)群决策评价模型,并将其应用到该指标体系下的协同创新伙伴选择中;最后,通过一个算例,对该研究方法加以验证,为高端装备制造业进行协同创新伙伴选择提供一定的参考。
