Feature-based Unsupervised Clustering for Supplier Categorization

被引：0

作者：

Irfan, Danish ^{[1
,2
]}

Xu Xiaofei ^{[1
]}

Deng Shengchun ^{[1
]}

Ye Yunming ^{[1
]}

机构：

[1] Harbin Inst Technol, Sch Engn & Comp Sci, Harbin 150006, Peoples R China

[2] COMSATS Inst Informat Technol, Dept Comp Sci, Karachi, Pakistan

来源：

2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 | 2008年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper outlines the feature-based unsupervised clustering for supplier categorization. Traditionally, when categorizing suppliers, companies have considered factors such as price, quality, flexibility etc. An enterprise is considered for design and manufacture with the objective of acquiring & developing a sophisticated technological base for systems and enlarging & expanding production of components. In this scenario, our intuition ties in supplier categorization based upon the selected features of suppliers. Lastly, we present results of segmentation of supplier data.

引用

页码：2074 / +

页数：3

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