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Emerging organizational structure for knowledge-oriented teamwork using genetic algorithm 总被引:1,自引:0,他引:1
Organizations have historically sought efficiency improvements through different combinations of materials, components, production and processes to get better performance. However, in this age of the knowledge economy, the new organizational management has shifted its focus to the proper use of the knowledge of employees to create greater output and performance. There is a recent trend towards flat organizations and team-orientated structures, therefore this study will concentrate on the knowledge-oriented teamwork. To construct the fitting team structure, we solve the problem in two stages. In the first stage, we assign the proper tasks to the proper members to achieve a good match for effective usage of organizational knowledge. In the second stage, we solve the problem of insufficient knowledge within the organizational structure generated in the first stage by adjusting the positions of members to improve the mutual coordination and knowledge sharing and support.We applied a basic genetic algorithm (BGA) to solve the problems in both the stages. Five factors, such as member/task number, the number of knowledge types, the number of task types, the average complexity of each member’s knowledge types and the average complexity of task knowledge types, are considered to generate different types of problems. Computational results show that the BGA is able to find optimal knowledge matching for small-sized problems in the first stage, and that the BGA is able to improve the organizational structure generated in the first stage in order to reduce the communication cost of knowledge support among the members in the second stage. 相似文献
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目前,自然语言处理已从句法、词法层面走向轻量级语义层面。针对中文陈述句的自然语言处理,传统Lambek演算无法解决中文陈述句灵活语序的问题,而现有的方法加入模态词、新连接词等后,又进一步增加了已经是NP-hard的Lambek演算的复杂性,因此并不适合计算机的相关处理。基于此,采用加标动词匹配的Lambek演算对中文陈述句灵活语序进行处理。加标动词匹配算法的时间复杂度低,使得计算机及其程序能有效地对中文陈述句灵活语序进行处理,并能通过Curry-Howard对应理论与λ-演算引入轻量级语义处理。 相似文献
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The linear reconstruction measure (LRM), which determines the nearest neighbors of the query sample in all known training samples by sorting the minimum L2-norm error linear reconstruction coefficients, is introduced in this paper. The intuitive interpretation and mathematical proofs are presented to reveal the efficient working mechanism of LRM. Through analyzing the physical meaning of coefficients and regularization items, we find that LRM provides more useful information and advantages than the conventional similarity measure model which calculates the distance between two entities (i.e. conventional point-to-point, C-PtP). Inspired by the advantages of LRM, the linear reconstruction measure steered nearest neighbor classification framework (LRM-NNCF) is designed with eight classifiers according to different decision rules and models of LRM. Evaluation on several face databases and the experimental results demonstrate that these proposed classifiers can achieve greater performance than the C-PtP based 1-NNs and competitive recognition accuracy and robustness compared with the state-of-the-art classifiers. 相似文献
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本文报道了火柴磷面用水溶性干酪素、脲醛树脂和酚醛树脂胶粘剂,研究其对火柴磷面擦划效能、灵敏度、抗潮力和耐水性的影响。 相似文献
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概述了水泥稳定碎石基层的特点.从材料、配合比以及施工等方面,论述了水泥稳定碎石基层的施工质量控制措施. 相似文献
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将色彩融入生活空间,让这些时尚前沿的色彩符号走入生活,在室内设计中的整套策划中,贯穿主线的是室内整体色彩计划,可谓之室内设计的灵魂所在。流行色彩对于平常生活已不是什么陌生的东西了,它正一步一步颠覆人们以前对色彩运用场合的忌讳,迅速融入我们的生活。 相似文献