基于技術(shù)創(chuàng)新系統(tǒng)的企業(yè)競(jìng)爭(zhēng)力分析competitiveness_of_enterprises_based_on_technology_innovation_system-資料下載頁(yè)
2025-06-03 08:47本頁(yè)面
【正文】 1 66 , ( 0. 00 72 , 0. 08 87 )X ? ? According to the formula (1) and formula (2) we can reach index vector to the maximum evaluation value vector distance and the distance to the minimum evaluation value vector, 1 0d?? ， 2 ? ? ， 3 ? ? ， 4 ? ? ， 5 ? ? 1 ? ? ， 2 ? ? ， 3 ? ? ， 4 ? ? ， 5 ? ? According to the formula (7) we can obtain the relative closeness between Index vector and the maximum evaluation value vector, 1 1M? ， 2 ? ， 3 ? ， 4 ? ， 5 ? Finally, we can draw the top five largescale iron and steel enterprises technological innovation petitiveness from the strong to weak are Baosteel, Anshan Steel, Wuhan Steel, Maanshan Steel and Sha Steel. 5. Conclusion WSD (World Steel Dynamics) increase the rate of technological innovation petitiveness in Global steel industry petitiveness sort table. In this article we proposed a separate technological innovation on the petitiveness of the steel to evaluate the method. This approach allows the evaluation of iron and steel enterprises can not only be good for enterprises to find the gap between them in technology innovation system also allows businesses to access their own internal innovation index for their own innovation system. Through the above evaluation of steel panies can position themselves well for the future of technology innovation program. References [1] Capital Iron and Steel Institute, From the WSD of the world steel industry petitiveness evaluation to see how the domestic steel industry to improve international petitiveness, Metallurgical Management 11 (2021) 2024. [2] SongZehai, LiuDacheng, LuoWuwei, Interval AHP method in the steel industry investment decisions, Industrial Engineering 8 (6) (2021) 6770. [3] Pan J C H, Yang J S. A study of an integrated inventory with controllable lead time[J].International Journal of Production Research 40 (2021) 12631273. [4] XiaoChun, XuWeiping, ZhangYi, Iron and steel enterprise prehensive technical and economic indicators of the neural work evaluation model, Southern Metals 4 (2021) 14. [5] XiaYongqi, WuQizong, A hybrid multiple attribute decision making problems TOPSIS method, Systems Engineering 19 (6) (2021) 630634. [6] YingMing Wang, Taha . Elhag, Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment, Expert Systems with Applications 31 (2021) 309319. [7] TingYu Chen, ChuehYung Tsao, The intervalvalued fuzzy TOPSIS method and experimental analysis, Fuzzy Sets and Systems 159 (2021) 14101428 [8] HsuShih Shih, HuanJyh Shyur, E. Stanley Lee, An extension of TOPSIS for group decision making, Mathematical and Computer Modelling 45 (2021) 801813 [9] . Byun, . Lee, A decision support system for the selection of a rapid prototyping process using the modi?ed TOPSIS method, International Journal of Advanced Manufacturing Technology 26 (11–12) (2021) 1338–1347. [10] . Shih, . Wang, . Lee, A multiattribute GDSS for aiding problemsolving, Mathematical and Computer Modelling 39 (11–12) (2021) 1397–1412
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