Journal of System Simulation
Abstract
Abstract: For the matching between sports industry technology innovation persons and organizations under fuzzy information, a new matching modal was proposed. The factors of sports industry technology innovation persons-organization fit were researched. The qualitative key influence factors were quantified using indirect measure based on interval number complementary judgment matrix of the experts. The matching fit modal of sports industry technology innovation persons and organizations was constructed from the perspective of organizational. It is to verify the feasibility and availability of the matching fit model by using a simulation example.
Recommended Citation
Yan, Gao and Sun, Jinhai
(2020)
"Research on Matching Measure and Simulation of Matching Between Sports Industry Technology Innovation Persons and Organizations Under Fuzzy Information,"
Journal of System Simulation: Vol. 27:
Iss.
9, Article 2.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol27/iss9/2
First Page
1935
Revised Date
2015-07-31
DOI Link
https://doi.org/
Last Page
1943
CLC
TP391.9
Recommended Citation
Gao Yan, Sun Jinhai. Research on Matching Measure and Simulation of Matching Between Sports Industry Technology Innovation Persons and Organizations Under Fuzzy Information[J]. Journal of System Simulation, 2015, 27(9): 1935-1943.
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