分组主成分在杨木制浆综合评价中的应用

The Application of Grouped Principal Component Analysis in Poplar Pulp Wood Comprehensive Evaluation

中文关键词:  纸浆材  相关性  因子分析  分组主成分  综合评价

Key Words:pulp wood  correlation  factor analysis  grouped principal component  comprehensive evaluation

中文摘要:

      以14种杨木的16个指标为例,采用基于因子分析的分组主成分法对杨木制浆适应性进行综合评价。结果表明,分组主成分法得到的各分组指标含义明确,对应的权重因子分配合理,较好地消除了原始指标间相关性的影响,为充分利用材性信息对纸浆材制浆适应性进行客观、合理的评价提供可能。

Abstract:

      The evaluation indexes of paper-making adaptability of pulp wood usually include the biological, growth rate, chemical composition and fiber morphology, etc. Higher correlation often exists between the indexes which will impact the reliability of the results. This paper selects 16 indices of 14 fast growing poplar species that are widely cultivated in Shandong province. Using grouped principal component analysis based on factor analysis comprehensively evaluated the 14 poplar varieties. The results showed that the meaning of factor corresponding to each index group is clear and the weight is allocated reasonably, and the correlation between the original indices is also eliminated. The new method provides the possibility to using fully use all of the property information to evaluate pulp wood objectively and reasonably aided by computer aid.