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The Weighting Analysis of Influence Factor in Resource Recycling via Rough Set Method

並列摘要


With the human being's advances in technology and business economic growth, the consumption of material grows rapidly, and cause many environmental problems, such as greenhouse effect, which cause by the increasing of vehicle. If we can deeply understand the influence factors in resource recycling, then, it not only can leave a clean space for future generations, but also can make huge economic benefit for whole society. Hence, the paper uses a large-scale environmental field in Central Taiwan as an case, and provides significant method in rough set to analyze the weightings for each influence factor in resource recycling, which include paper, poly bottles, plastic, iron, aluminum, copper, electrical wiring and battery, totally eight influence factors. From the real data and through the actual analysis, we can find that the most important item in our case, which is iron. This result not only can matching with the previous research, but also providing the strategies to the resource recycling plants, which can be the citing in the field of resource recycling.

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