Vague Weighted Decision-Making Method and Its Application in Sugarcane Breeding

被引：0

作者：

Wang, Hongxu ^{[1
]}

Zhang, FuJin ^{[1
]}

Xu, Yunsheng ^{[2
]}

机构：

[1] Qiongzhou Univ, Coll Sci & Engn, Sanya Hainan 572022, Peoples R China

[2] Qiongzhou Univ, Coll Elect & Informat Engn, Sanya Hainan 572022, Peoples R China

来源：

COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE V, PT III | 2012年 / 370卷

关键词：

Vague weighted decision-making method; data into formulas; similarity measure formula; sugar cane; Department of preferred varieties;

D O I：

暂无

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

Similarity measure formula between Vague set A and B is put forward: M-m (A, B) = Sigma(n)(i=1) [1-vertical bar mu((m))(a1) - mu((m))(b1)vertical bar+vertical bar v(a1)((m)) - V-b1((m))vertical bar]center dot[1-vertical bar t(a1)((m)) - t(b1)((m))vertical bar+vertical bar fb(1)((m))vertical bar - f(b1)((m))vertical bar] Vague weighted decision-making method is the pattern recognition method of the Vague set. It is a weighted decision method applied to sugar cane. Vague strains preferred specific methods and steps are discussed, the preferred method is applied to sugar cane lines. The case shows that these formulas and methods are practical, and comparison with other methods, this one has greater advantages.

引用

页码：85 / +

页数：2

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