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Multi-objective decision-making framework for effective waste collection in smart cities

机译:智能城市有效废物收集的多目标决策框架

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There are metropolitan areas in smart cities that are experiencing waste collection challenges through ineffective methods of waste collection in resource constrained environments. This paper identified an opportunity to investigate efficient decision-making ways that will make use of data generated by IoT-enabled objects, taking into account the multi-objective goals in a smart city through addressing data loss challenge. Having the list of decision-making algorithms is one thing but choosing which algorithm to use requires intelligence. There is a need for decision-making algorithms that will be sufficiently dynamic to address different levels of data loss inherent in IoT data collection. This paper presents the framework that will enhance the smarter decisions in the smart city.
机译:通过在资源受限环境中的废物收集方法中,智能城市中有大都市区域正在经历废物收集挑战。本文确定了调查有效的决策方式,这些方式将利用启用物联网的对象生成的数据,同时考虑到智能城市中的多目标目标来解决数据丢失挑战。具有决策算法列表是一件事,但选择要使用的算法需要智能。需要决策算法,该算法将足够动态地解决IOT数据收集中固有的不同级别的数据丢失。本文介绍了将提升智能城市中更智能的决策的框架。

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