Science and technology project industrialization evaluation method based on factor analysis method
A factor analysis method and technology of scientific and technological projects, applied in the field of industrialization evaluation of scientific and technological projects based on factor analysis, can solve the problems of unexpandable index system, strong subjectivity, difficult to unify conclusions, etc., and achieve quantifiable and convenient results of scientific and technological projects. Evaluate and compare, results are intuitive and effective
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Embodiment 1
[0063] refer to figure 1 , in this embodiment, the industrialization evaluation method of scientific and technological projects based on the factor analysis method includes the determination of the evaluation index system of the industrialization maturity of scientific and technological projects, the determination of the weight of the index system, and the evaluation and classification of the industrialization of scientific and technological projects.
[0064] (1) The determination of the industrialization maturity evaluation index system of the scientific and technological projects includes the following steps:
[0065] S1. Clarify the evaluation object, formulate evaluation elements and indicators determination principles, wherein the evaluation object is the industrialization maturity of science and technology projects, and the evaluation elements include four elements: technology elements, market elements, resource elements and transformation support elements, The principl...
Embodiment 2
[0105] refer to image 3 , in another embodiment of the present invention, the difference is that after determining the weight of the third-level index based on the CFA method, the weight of the fourth-level index is determined by the FAHP method, and the weight of the third-level index and the fourth-level index is obtained after the weight synthesis The final indicator model specifically includes the following steps:
[0106] 1) Using the 0.1-0.9 scale method, average the scores of 118 professionals to construct a priority judgment matrix:
[0107] F=(f ij ) n×n (Formula 4)
[0108] In the formula, n is the number of indicators, f ij The importance of the i-th index relative to the j-th index.
[0109] 2) Use MATLAB to transform the priority judgment matrix into a fuzzy consistent matrix, then perform normalization processing, and finally iterate to obtain the relative weight of the four-level index.
[0110] 3) Combine the weights obtained by the FAHP and CFA methods...
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