NDLI: On the selection of international cooperation key-technology projects based on grey cluster model

Content Provider	IEEE Xplore Digital Library
Author	Xie Nai-ming Liu Si-feng Zhan Hui-bin
Copyright Year	2013
Description	Author affiliation: Inst. for Grey Syst. Studies, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China (Xie Nai-ming; Liu Si-feng) \|\| Coll. of Econ. & Manage., Huangshan Univ., Huangshan, China (Zhan Hui-bin)
Abstract	To study the selection of the international cooperation project in China, a method based on grey clustering decision-making model is proposed and applied in selection of international cooperation key-technology projects in Jiangsu Province. The demand and supply information is defined as urgency and possibility indexes in the international cooperation project selection index system. Whitenization weight function of each index is constructed and the fixed weight grey cluster model of the international cooperation project selection is proposed. By analyzing and integrating indexes of regional key cooperation technologies respectively from the urgency and the possibility of regional science and technological cooperation programs, key technologies that fit the urgent needs of regional leading industries and can be obtained through international cooperation are selected. It is shown in the results that this paper not only proposed the definitions of urgency index and possibility index but also put forward selection models and steps based on grey clustering decision-making model. Results show that the method is effective and can be used to solve relevant project selection problems.
Sponsorship	IEEE Syst., Man, Cybern. Soc.
Starting Page	366
Ending Page	370
File Size	169255
Page Count	5
File Format	PDF
ISSN	21669430
e-ISBN	9781467352482
DOI	10.1109/GSIS.2013.6714810
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Industries Economics Technological innovation key technology grey clustering urgency index clustering coefficient Collaboration Propulsion Educational institutions possibility index Indexes
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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