| Autor: |
Mutanov, Galim, Abdykerova, Gizat, Yessengaliyeva, Zhanna |
| Zdroj: |
Soft Computing in Big Data Processing; 2014, p19-28, 10p |
| Abstrakt: |
To improve the quality of assessment of scientific and innovative projects the mathematical methods and models are developed in this article. Criteria and methods for assessing innovativeness and competitiveness are developed, along with a graphic model allowing visualization of project assessment in the coordinate scale of the matrix model. Innovation projects being objects of two interacting segments – science and business – are formalized as two-dimensional objects with the dependence K=f(I), where K is competitiveness and I is innovativeness. The proposed methodology facilitates complex project assessment on the basis of absolute positioning. This decision support methodology is designed to be utilized by expert commissions responsible for venture funds, development institutes, and other potential investors needing to select appropriate scientific and innovative projects. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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