A Motivation-based Partnership Decision Model on Event-Stream Knowledge in Real-time Business
A Motivation-based Partnership Decision Model on Event-Stream Knowledge in Real-time Business
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DOI：
10.23919/icmu.2018.8653626
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发表时间：
2018-10
期刊：
影响因子：
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通讯作者：
Sunyanan Choochotkaew;Hirozumi Yamaguchi;T. Higashino
中科院分区：
文献类型：
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作者：
Sunyanan Choochotkaew;Hirozumi Yamaguchi;T. Higashino
朝着未来商业智能互联网(BI)的全新多维知识共享框架，我们解决了知识所有者共享决策的挑战。在本文中，我们提供了一个自动决策者模型，以响应来自知识投资者的要约请求。为了实现这一点，我们借鉴了事件流处理背景下共享行为背后动机因素的理论，作为所有者方面的决策标准。然后，我们利用多准则决策技术AHP来提供数值得分排序。为了获得提供的灵活性，我们允许投资者同时提供直接激励(金钱)和间接激励(计算能力)，并提出了一种同时考虑计算和通信的能量和时间的事件流处理任务的资源价值评估方法。为了说明所提出的决策模型，我们以社会/兴趣主导的灾难知识和态度主导的市场趋势知识为例进行了案例研究。
Toward a brand-new multi-dimensional knowledge-sharing framework for the future Internet of Business Intelligence (BI), we tackle the challenges of sharing decisions at knowledge owners. In this paper, we provide an automatic decision-maker model responding to requesting offers from knowledge investors. To achieve that, we refer the theory about motivational factors behind sharing behavior in the context of event-stream processing for decision criteria in owner aspect. Then, we exploit the multi-criteria decision technique named AHP to provide numerical score ranking. To gain the flexibility of offering, we allow investors to offer both direct incentive (money) and indirect incentive (computation power) and propose a method to assess the value of resource for event-stream processing tasks considering both energy and time of computation and communication. To illustrate the proposed decision model, we raise example case studies on social/interest-leading disaster knowledge and attitude-leading market-trend knowledge.