Establishment of Evaluation Indication System on Embedded Industrial Technology Innovation
Embedded industry as a branch of the new rise of IT industry, changing people's lives. For how to create embedded technology innovation models and innovation system, embedded technology innovation brings a variety of management issues, this paper studies the embedded industrial innovation index...
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Published in | Applied Mechanics and Materials Vol. 513-517; no. Applied Science, Materials Science and Information Technologies in Industry; pp. 3556 - 3559 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Zurich
Trans Tech Publications Ltd
06.02.2014
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Subjects | |
Online Access | Get full text |
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Summary: | Embedded industry as a branch of the new rise of IT industry, changing people's lives. For how to create embedded technology innovation models and innovation system, embedded technology innovation brings a variety of management issues, this paper studies the embedded industrial innovation index system. First, hierarchical analysis model represents the index system 6 first level indicators and 24 secondary indicators constituted; Then, the basic idea of G1 method is based on constructing a mathematical model to calculate the weights according to solving steps; Finally, according to the mathematical model to 6 secondary indicators "research and development" first level indicators under an example to illustrate the calculation process, and lists all the index weight calculation results through form. Results of this study will help countries understand the current level of development; provide the basis for the formulation of industrial development policies. |
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Bibliography: | Selected, peer reviewed papers from the 2014 International Conference on Advances in Materials Science and Information Technologies in Industry (AMSITI 2014), January 11-12, 2014, Xi’an, China ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISBN: | 9783038350125 3038350125 |
ISSN: | 1660-9336 1662-7482 1662-7482 |
DOI: | 10.4028/www.scientific.net/AMM.513-517.3556 |