摘要
根据模糊数学原理,提出利用变异系数赋权、信息量赋权与距优平方和赋权3种变异性信息权重分配方法对小麦品质进行模糊综合评价.对陕西省7个育成小麦品种(系)品质综合评判结果为:λ>0.65,为优质小麦品种,包括高优503、陕160、小偃6号、大粒878、陕优225.λ<0 6,为低筋粉专用小麦品种,包括小偃7号、秦发12号、陕354。
Based on the principle in fuzzy mathematics, a method for fuzzy comprehensive evaluation of wheat quality in terms of 3 types of weighted variability information was put forward, including weighted coefficient of variation, weighted information quantity and weighted quadratic sum of optimal distance. The comprehensive quality evaluation results of 11 bred wheat varieties (strains) in Shaanxi: the wheat varieties are high in quality when>0.6, including Gaoyou 503, Shaan 160, Xiaoyan No.6, Dali 878 and Shaanyou 225; and they are low gluten varieties for special purpose when <0.6, including Xiaoyan No.7, Qinmai No.12, Shaan 354 and Lifeng No.3.
出处
《西安文理学院学报（社会科学版）》
2003年第4期10-14,共5页
Journal of Xi’an University(Social Sciences Edition)
关键词
小麦
品质性状
变异性信息
模糊评价
wheat
quality character
variability information
fuzzy evaluation
