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Two Dimensional Process (Fuzzy or Precise) in Context Awareness

机译:上下文感知中的二维过程(模糊或精确)

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Mark Weiser coined the phrase "pervasive computing" which means in the fusion of cyberspace and physical space, the terminal can do the distraction-free computing anytime, anywhere and anyhow |1|. However, context-aware pervasive computing needs to deal with lots of context information, and the terminal automatically adapt its behavior to the changing environment according to the dealt context information. Under such circumstances, Two Dimensional Process is designed to automatically classify all the obtained context information into two dimensions-precise and fuzzy. Thus, the network selection engine could effectively and precisely select services according to the user's current context for the user's terminal. Existing work does not adequately address this issue. In this paper, we formulate the Two Dimensional Process by using fuzzy linguistic variables and function of membership degrees to handle each of the precise or fuzzy variable. The decision for user's terminal is achieved by network selection engine using the algorithm of TOPSIS.
机译:马克·韦瑟(Mark Weiser)创造了“普适计算”一词,这意味着在网络空间和物理空间的融合中,终端可以随时随地| 1 |进行无干扰的计算。然而,感知上下文的普适计算需要处理大量的上下文信息,并且终端根据所处理的上下文信息自动使其行为适应变化的环境。在这种情况下,二维过程被设计为自动将所有获得的上下文信息分类为精确和模糊两个维度。因此,网络选择引擎可以根据用户的当前上下文为用户的终端有效且精确地选择服务。现有工作不足以解决此问题。在本文中,我们通过使用模糊语言变量和隶属度函数来处理每个精确变量或模糊变量来制定二维过程。用户选择终端的决定是通过网络选择引擎使用TOPSIS算法来实现的。

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