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Design of Fuzzy System for Garbage Classification Based on Optimization Algorithm

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Frontier Computing (FC 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1031))

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Abstract

The configuration of garbage collection facilities has a direct impact on the sorting effect. Although the configuration scheme of garbage collection facilities in the pilot city is very perfect, it is not applicable to college campuses at present. The composition of domestic waste on campus varies with the function of the area, so North China University of Technology is divided into six types of functional areas. The addition and location of domestic waste collection facilities are optimized by using linear planning, and at the same time, suitable proportional parameters are found based on multi-dimensional scale analysis, and regional waste classification standards specific to universities are designed and obtained. The optimized allocation plan of domestic waste collection facilities is proposed for North China University of Technology. The configuration scheme of garbage collection facilities proposed by the actual situation of the campus is compared with the configuration scheme of existing garbage collection facilities in China and verified by using fuzzy comprehensive evaluation, which proves that the configuration scheme of garbage collection facilities proposed in this paper is more feasible in colleges and universities.

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Acknowledgements

National-level Student Innovation and Entrepreneurship Training Program Project Grant: Optimization Research on Campus Waste Classification System Based on Campus Functional Area (NO. 202110081001).

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Correspondence to Zixuan Ge .

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Ge, Z., Dai, Y., Wang, J., Wang, N., Shi, B., Zhang, Y. (2023). Design of Fuzzy System for Garbage Classification Based on Optimization Algorithm. In: Hung, J.C., Yen, N.Y., Chang, JW. (eds) Frontier Computing. FC 2022. Lecture Notes in Electrical Engineering, vol 1031. Springer, Singapore. https://doi.org/10.1007/978-981-99-1428-9_61

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  • DOI: https://doi.org/10.1007/978-981-99-1428-9_61

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-1427-2

  • Online ISBN: 978-981-99-1428-9

  • eBook Packages: EngineeringEngineering (R0)

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