Title :
Application of fuzzy clustering iterative model and sorting algorithm in comprehensive evaluation of logistics development
Author :
Zhang, Xiaowei ; Yu, Xuefeng
Author_Institution :
Sch. of Hydraulic & Electr. Eng., Heilongjiang Univ., Harbin, China
Abstract :
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.
Keywords :
fuzzy set theory; logistics; pattern classification; pattern clustering; service industries; sorting; China; Yunnan province; fuzzy clustering iterative model; logistics development; logistics division; sample classification; sorting algorithm; Aerospace industry; Clustering algorithms; Clustering methods; Eigenvalues and eigenfunctions; Fuzzy sets; Iterative algorithms; Logistics; Performance analysis; Sorting; Fuzzy Clustering; Logistics Management; Relative Membership Degree;
Conference_Titel :
Logistics Systems and Intelligent Management, 2010 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-7331-1
DOI :
10.1109/ICLSIM.2010.5461303
