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

Volume

3

fYear

2010

fDate

9-10 Jan. 2010

Firstpage

1882

Lastpage

1886

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Logistics Systems and Intelligent Management, 2010 International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-7331-1

Type

conf

DOI

10.1109/ICLSIM.2010.5461303

Filename

5461303