Open Journal Systems

Researchon fuzzy evaluation of waste logistics system in industrial park based on BP neural network

Kailun He, Xiuli Bao, Zhixue Liu

Article ID: 1858
Vol 3, Issue 1, 2022

DOI: https://doi.org/10.54517/ec.v3i1.1858
VIEWS - 50 (Abstract)

Abstract

According to the design principle of evaluation index, combined with the requirements of system operation efficiency and benefit, the development of eco city and eco industrial park, this paper puts forward the evaluation index system of waste logistics system in the park with 22 secondary indexes from the five aspects of system input, system capacity, operation efficiency, treatment efficiency and environmental performance, reasonably determines the index weight by using analytic hierarchy process, and selects 12 industrial parks as the object for example analysis, and use the proposed index system to carry out fuzzy evaluation and obtain the input and evaluation results of fuzzy evaluation. Then, according to the fuzzy evaluation process, build a three-layer BP neural network, train the BP network with the input and output of fuzzy evaluation, and obtain the BP network that can perform fuzzy evaluation. The example analysis shows that: the evaluation results of BP network for each park are the same as those of fuzzy evaluation. It is a convenient, reliable and effective scientific tool to evaluate the performance of waste logistics system in the park.

Keywords

industrial park; waste logistics; analytic hierarchy process; fuzzy evaluation; BP neural network

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