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A Combination of Social Media and Geospatial Data For Waste Mapping Using Fuzzy AHP And Vikor

机译:使用模糊AHP和Vikor的废物映射的社交媒体和地理空间数据的组合

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Landfill waste is a common problem that occurs in many places. The management of landfills and concern for waste is the responsibility of the government and society. In this digital era, people's concern for waste is often shown by providing information on garbage piles on social media. The government is responsible for managing waste. This is under one of the government's main tasks and functions, namely managing waste to keep the environment clean. However, the government often has limited equipment and employees in charge of managing and collecting the waste dump. Limited equipment and employees have an impact on incomplete and not optimal waste handling. This research conducts mapping and recommendations for priority waste management based on a combination of criteria for the number of waste posts on social media and village geospatial data. The prioritization of waste piles uses FAHP and Vikor, which is then mapped using QGIS. To test the accuracy of the recommendations, we compare the ranking results with the expert ranking results. The study conducted experiments with various combinations of criteria. It was found that the criteria for posting data on social media did not affect in determining priority location for landfills compared to the criteria for the number of residents.
机译:垃圾填埋场是许多地方发生的常见问题。垃圾填埋场管理和浪费的关注是政府和社会的责任。在这种数字时代,人们对​​废物的关注,通常通过提供关于社交媒体上的垃圾桩的信息来显示。政府负责管理垃圾。这是政府的主要任务和职能之一,即管理废物以保持环境清洁。然而,政府经常有有限的设备和雇员负责管理和收集废物垃圾堆。有限的设备和员工对不完整而不是最佳的废物处理产生影响。本研究为基于社交媒体和村屋地理空间数据的废物帖子数量的标准的组合,进行优先赔偿管理的映射和建议。废物桩的优先级使用FAHP和Vikor,然后使用QGIS映射。为了测试建议的准确性,我们将排名结果与专家排名结果进行比较。该研究通过各种标准组合进行了实验。有人发现,与居民人数的标准相比,在社交媒体上发布关于社交媒体数据的数据的标准在确定垃圾填埋场的优先位置。

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