环境智能移动服务的可持续性评价框架

Rabah Souad, Zoghlami Nesrine, A. Mourad
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引用次数: 1

摘要

如何评估、构建和维护可持续的环境智能(AmI)服务是目前最难解决的问题之一。它如何能够使社会在不破坏其自然和环境支持的情况下享受足够高水平的生活?为了进行这项研究,研究人员应该涵盖各种技术领域,这些技术领域相互合作以建立AmI服务。在这项工作中,我们提出了一个环境移动领域的框架评估服务。本文首先对环境情报服务评价进行了系统的文献综述,对泛在环境情报评价和环境情报评价进行了全面的研究。在我们的研究中,我们专注于提取度量和方法,然后我们列举了可持续性定义后的子标准。接下来,我们定义可持续性评估的子标准,同时证明这些标准的选择总是基于以前的系统审查方法。最后,总结了一种基于人类推理的不确定逼近评价方法;模糊逻辑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sustainability evaluation framework for ambient intelligences mobile services
One of the most difficult question to treat, is how to evaluate, build and maintain a sustainable Ambient intelligence (AmI) service? how it can enable society to enjoy a sufficiently high level of life without destroying its natural and environmental support? To conduct this research, the researcher should cover a variety of technological fields that cooperate together to establish an AmI service. In this work we propose a Framework assessment services in the field of ambient mobility. First of all, we introduce a systematic literature review in order to evaluate ambient intelligence services by presenting a full research related to ubiquitous and ambient intelligence evaluation. In our research we focus to extract metric and methodology then we enumerate the sub-criteria following the sustainability definition. Next, we define the sub-criteria for the assessment of sustainability while justifying the choice of these criteria is always based on previous systematic review methodology. Finally, we summarize a method for evaluating uncertain approaching based on human reasoning; fuzzy logic.
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