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合作技术创新的风险因素识别及模糊评价研究 总被引：1，自引：0，他引：1
合作创新因主体多样化而分散了创新风险,而合作创新过程中独有的风险及其复杂性和主观性、模糊性远未引起足够的重视。在对合作创新过程中风险因素进行识别的基础上,将合作创新的风险归纳为知识产权风险、合作关系风险和运作流程风险三大类,并结合合作创新风险项目的模糊性特点,运用模糊群体决策理论,建立了风险评价模型,同时给出了风险分析矩阵。 相似文献
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《Information processing & management》2022,59(1):102796
In the period of Corona Virus Disease 2019 (COVID-19), millions of people participate in the discussion of COVID-19 on the Internet, which can easily trigger public opinion and threaten social stability. This paper creatively proposes a multi-stage risk grading model of Internet public opinion for public health emergencies. On the basis of general public opinion risk grading analysis, the model continuously pays attention to the risk level of Internet public opinion based on the time scale of regular or major information updates. This model combines Analytic Hierarchy Process Sort II (AHPSort II) and Swing Weighting (SW) methods and proposes a new Multi-Criteria Decision Making (MCDM) method – AHPSort II-SW. Intuitionistic fuzzy number and linguistic fuzzy number are introduced into the model to evaluate the criteria that cannot be quantified. The multi-stage model is tested using more than 2,000 textual data about COVID-19 collected from Microblog, a leading social media platform in China. Seven public opinion risk assessments were conducted from January 23 to April 8, 2020. The empirical results show that in the early COVID-19 outbreak, the risk of public opinion is more serious on macroscopic view. In details, the risk of public opinion decreases slowly with time, but the emergence of important events may still increase the risk of public opinion. The analysis results are in line with the actual situation and verify the effectiveness of the method. Comparative analysis indicates the improved method is proved to be superior and effective, sensitivity analysis confirms its stability. Finally, management suggestions was provided, this study contributes to the literature on public opinion risk assessment and provides implications for practice. 相似文献
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针对跨国公司外派经理的选择问题,给出了一种实用的决策分析方法.首先,借鉴已有的研究成果,建立了一套基于多元智商的外派经理评价指标体系;然后,考虑指标的主观判断因素,引入了模糊数的概念,并基于理想点法给出了一种多指标决策方法;最后,通过一个算例说明了方法的应用. 相似文献
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摘要：体育产业作为未来拉动经济发展的新引擎,是促进体医联动,保障政府购买体育服务的有力支撑,也是进行供给测改革,调整体育产业结构的重要载体。如何有效帮助政府抉择、评价切实可行的体育产业政策,这是政府的使命和根本任务。主要采用文献资料法、数理统计法借助混合多目标决策模型构建一种体育产业政策评价准则,以期综合评判体育产业政策、方案（侧重点）以及资源间的抉择问题。借助DEMATEL法研究体育产业策略与侧重点间的复杂关系,利用ANP法确定网络结构中各策略和方案变量间权重,采用ZOGP法探析侧重点和可用资源间的关系。结果表明,在既定预算下,“体育健身”和“体育用品”两个侧重点最为有效,即大力发展全民健身运动,扩大体育用品产业发展,有助于我国体育产业的整体发展。该模型的建立为决策者筛选、评价体育产业政策组合提供了一条可行的解决路径。 相似文献
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基于模糊多指标和TOPSIS方法的图书馆服务质量评价 总被引：2，自引：0，他引：2
针对如何评价图书馆服务质量的问题,从图书馆管理工作的实际需要出发,建立了一套包括图书馆整体环境、读者感受价值、馆藏资源、服务效果四个方面内容的评价指标体系,并进一步给出了一种由模糊多指标和TOPSIS构成的组合评价方法。最后,通过一个算例说明了该方法的应用过程和有效性。 相似文献
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基于多元智商的外派经理评价指标与选择方法 总被引：3，自引：0，他引：3
针对跨国公司外派经理的选择问题,给出了一种实用的决策分析方法。首先,借鉴已有的研究成果,建立了一套基于多元智商的外派经理评价指标体系;然后,考虑指标的主观判断因素,引入了模糊数的概念,并基于理想点法给出了一种多指标决策方法;最后,通过一个算例说明了方法的应用。 相似文献
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The computerized healthcare information system has undergone tremendous advancements in the previous two decades. Medical institutions are paying further attention to the replacement of traditional approaches that can no longer handle the increasing amount of patient data. In recent years, the healthcare information system based on big data has been growing rapidly and is being adapted to medical information to derive important health trends and support timely preventive care. This research aims to evaluate organization-driven barriers in implementing a healthcare information system based on big data. It adopts the analytic network process approach to determine the aspect weight and applies VlseKriterijumska Optimizacija I Kzompromisno Resenje (VIKOR) to conclude a highly appropriate strategy for overcoming such barriers. The proposed model can provide hospital managers with forecasts and implications that facilitate the withdrawal of organizational barriers when adopting the healthcare information system based on big data into their healthcare service system. Results can provide benefits for increasing the effectiveness and quality of the healthcare information system based on big data in the healthcare industry. Therefore, by understanding the sequence of the importance of resistance factors, managers can formulate efficient strategies to solve problems with appropriate priorities. 相似文献
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