模糊信息综合评判方法在优质小麦品质评价中的应用  

The Application of Fuzzy Information Synthetically Judging Method in the Appraise of High-quality Wheat

作　　者：卢恩双[1] 孙全敏[2] 张斌贝 单青松[1] 

机构地区：[1]西北农林科技大学应用数学系,陕西杨凌712100 [2]西北农林科技大学经济管理学院,陕西杨凌712100

出　　处：《数学的实践与认识》2006年第9期81-86,共6页Mathematics in Practice and Theory

摘　　要：小麦品种(系)间综合品质的差异性取决于各品质性状的优劣及变异性.根据模糊数学原理,提出优质小麦品质模糊综合评判的三种变异性信息权重分配方法—变异系数赋权、信息量赋权与距优平方和赋权.按方法对陕西省11个育成小麦品种(系)品质综合评判结果为:>-λ0.65,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-<0.55,为低筋粉专用小麦,包括小偃7号、秦麦12号、陕354、荔丰3号.The difference quality of wheat depends on wheat＇s varied nature quality and variability of properties. According to fuzzy mathematics principle, this paper put forward high-quality wheat fuzzy synthetically judging method of three varied kinds information synthetically weight assign-varied coefficient weigh, information amount weigh, excellent from square sum weigh. According to this paper＇s method, synthetically judging result to 11 of Shannxi Province wheat breed is that high-quality wheat variety λ^- value〉0. 65, including high excellent 503, Shah 160, XiaoYan 6, Heavy grains 878, Shah excellent 225; and low muscle powder special-purpose wheat＇s λ^- value〈0.55, including XiaoYan 7, wheat Qin 12, Shan 354, LiFeng 3.

关 键 词：小麦品种 品质性状 变异性信息 模糊综合评判 

分 类 号：S512.1[农业科学—作物学]