粗糙集理论在昆虫分类学上的应用

THE APPLIED RESEARCH OF ROUGH-SET THEORY IN INSECT TAXONOMY

研究了昆虫的数学形态特征在目级昆虫分类阶元上作为分类特征的可行性、可靠性和重要性,以及3个目的亲缘关系远近。根据昆虫图像,对半翅目、鳞翅目、鞘翅目的28种昆虫提取形状参数、叶状性、球状性等7项数学形态特征进行了粗糙集理论与方法的论证和运算,并与赵汗青等人统计分析的结果加以比较。在作为目级阶元分类时,各项特征的重要性依次为:(似圆度、偏心率)>(亮斑数、球状性、圆形性)>(叶状性、形状参数)。从数学形态特征角度讲,3个目的亲缘关系远近大小依次为:半翅目与鞘翅目>鳞翅目与鞘翅目>半翅目与鳞翅目。粗糙集理论在昆虫依据数学形态特征进行分类方面与统计分析方法相比有更为理想的作用。

The objective of this research is to study the feasibility, reliability and importance of the mathmorphological features （MMF） used as taxonomic features of taxonomic category which means classifying insects by order, as well as the distance of the kinship among the 3 orders. The method is to make demonstrations and calculations, using rough-set theory and method, of 7 MMFs, such as form parameter, lobation and sphericity, etc. drawn from 28 species of insects of the Hemiptera, Lepidoptera ＆ Coleoptera based on their images. The results are also compared with those of ZHAO Han-Qing made by his statistical analysis. Result. When used in categorical taxonomy, the importance of MMF is ranked from high to low. （hot- spotnumber, sphericity, circularity） 〉 （roundness- likelihood, eccentricity） 〉 （lobation, form parameter）. In the light of MMF, the distance of the kinship of the 3 orders is ranked as follows. Hemiptera ＆ Coleoptera 〉 Lepidoptera ＆ Coleoptera 〉 Hemiptera ＆ Lepidoptera. Conclusion. This theory applied in insect taxonomy is more idealistic compared with statistical analysis method.