SME CLUSTERING BASED ON INNOVATION NEEDS

被引：0
|
作者：
Altay, Ayca [1 ]
Cinar, Didem [1 ]
Kayakutlu, Gulgun [1 ]
Duzdar, Irem [2 ]
机构：
[1] ITU Dept Ind Engn, TR-34376 Istanbul, Turkey
[2] Arel Univ, Dept Ind Engn, Istanbul, Turkey
来源：
UNCERTAINTY MODELING IN KNOWLEDGE ENGINEERING AND DECISION MAKING | 2012年 / 7卷
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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：
Innovation is a competitive obligation for the SMEs but the needs vary by region. In this study, Turkish SMEs in Thrace region are clustered using Fuzzy C-Means which is a strong clustering tool for qualitative data, in order to compare the past and current innovational needs of SMEs. Similar questions are surveyed in 2007 and 2011 and the results are evaluated to emphasize the innovation based improvements.
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页码：1005 / 1010
页数：6
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