DocumentCode :
2995380
Title :
The fuzzy multi-attribute group decision-making method for identifying the enterprise´s independent innovation capability: An empirical research of Yantai Wanhua Polyurethane Co., Ltd.
Author :
Wang Li-fen
Author_Institution :
Sch. of Bus., Ludong Univ., Yantai, China
fYear :
2012
fDate :
20-22 Sept. 2012
Firstpage :
1761
Lastpage :
1766
Abstract :
On the base of constructing the evaluation index system of the enterprise´s independent innovation capability, this paper firstly achieves an objective evaluation of the enterprise´s independent innovation capability through the division of its five stages. During this process, it uses a new fuzzy multi-attribute group decision-making method to establish a mathematical model. Compared to the traditional evaluation methods, this method takes into account the uncertain preference coefficient in decision-making and uses the weighted Hamming distance, based on the fuzzy theory and multi-attribute decision-making theory. Furthermore it can identify the enterprise´s independent innovation capability by the relative closeness interval. Finally, the empirical result about Yantai Wanhua Polyurethanes Co. LTD shows that the model can effectively identify the enterprise´s independent innovation capability.
Keywords :
decision making; fuzzy set theory; innovation management; operations research; Yantai Wanhua Polyurethane Co., Ltd; enterprise independent innovation capability; evaluation index system; fuzzy multiattribute group decision-making method; mathematical model; weighted Hamming distance; Decision making; Hamming distance; Indexes; Marketing and sales; Patents; Standardization; Technological innovation; fussy multi-attribute; group decision-making; independent innovation capability; innovation capability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering (ICMSE), 2012 International Conference on
Conference_Location :
Dallas, TX
ISSN :
2155-1847
Print_ISBN :
978-1-4673-3015-2
Type :
conf
DOI :
10.1109/ICMSE.2012.6414410
Filename :
6414410
Link To Document :
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