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Application of fuzzy clustering iterative model and sorting algorithm in comprehensive evaluation of logistics development
Based on the fuzzy clustering iterative model (FCIM) established by Chen, a new sorting algorithm (SA) is proposed. The SA gives not only the classification of samples, but also the sample sort. The method is applied to the logistics divisions of 16 states of Yunnan province in China. The FCIM and the SA bring out more advantages and practical value. The division-result corresponds with the regional features of Yunnan. The calculation is simple, and the analysis of results is reasonable and reliable.
Application of fuzzy clustering iterative model and sorting algorithm in comprehensive evaluation of logistics development
Based on the fuzzy clustering iterative model (FCIM) established by Chen, a new sorting algorithm (SA) is proposed. The SA gives not only the classification of samples, but also the sample sort. The method is applied to the logistics divisions of 16 states of Yunnan province in China. The FCIM and the SA bring out more advantages and practical value. The division-result corresponds with the regional features of Yunnan. The calculation is simple, and the analysis of results is reasonable and reliable.
Application of fuzzy clustering iterative model and sorting algorithm in comprehensive evaluation of logistics development
Xiaowei Zhang, (author) / Xuefeng Yu, (author)
2010-01-01
287977 byte
Conference paper
Electronic Resource
English
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