【正文】
D personnelValue ratio of new productsPatentsBaosteel[453,1030]Anshan Steel[165,733]Maanshan Steel[60,216]Wuhan Steel[202,476]Sha Steel[45,213]Construct the parative matrix, Solve the relative weight vector between each indicator and the consistency test. W=(,)T And inspect the data. From this vector we can reach which is more importance in large iron and steel enterprise technological innovation. We can find the relative importance of high to low is Value ratio of new products, Ramp。 Because of patent applications may not be pleted within one year, we should deal it as a interval data. After finishing the evaluation index data shown in Table 2.Table 2The evaluation data after synthesizedCompany NameIndexRamp。D ratio, Ratio of Ramp。D ratioRatio of Ramp。 accordingly the enterprise can be drawn between each index and the relative importance of relationships.(2) Solve the relative weight vector between each indicator and the consistency test.:W=(w1,w2,…w m)T.Step 3 Normalize the multiattribute evaluation matrixand find the weighted matrix [7]. (4)Step 4 Determine the maximum evaluation value of the matrixand the minimum evaluation value of the matrix.(1) For REAL indicators: ,.(2) For interval indicator:。D personnel = Number of Ramp。s iron and steel enterprises. The preparation of the International Iron and Steel in WSD petitiveness evaluation index system of progressive use of technology capabilities, the weight of this indicator has bee more and more, in this case the iron and steel enterprises technological innovation petitiveness indicators are listed separately for evaluation very necessary. This will improve the traditional TOPSIS method for the large steel panies after petitive evaluation of technological innovation, making the steel industry both in the evaluation of other panies with the same industry can be seen paring the petitiveness of their enterprises in technological innovation within the weaknesses, identify deficiencies to improve it.2. Problem description and model assumptions. Problem Description This article is to discuss the petitiveness of large steel panies, The present study the petitiveness of iron and steel enterprises technological innovation the main methods include AHP [2], fuzzy prehensive evaluation method [3], BP neural network evaluation method [4] and so on, Although the above methods can