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

Abstract : Similarity measure formula between Vague set A and B is put forward:$$\begin{aligned} M_m (A,B)=\sum_{i=1}^{n}\Bigg[{1-\frac{|u_{a_i}^{(m)}-u_{b_i}^{(m)}|+|v_{a_i}^{(m)}-v_{b_i}{^{(m)}|}}{2}}\Bigg] \cdot \Bigg[{1-\frac{|t_{a_i}^{(m)}-t_{b_i}^{(m)}|+|f_{a_i}^{(m)}-f_{b_i}{^{(m)}|}}{2}}\Bigg]\nonumber \end{aligned}$$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.
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Hongxu Wang, Fujin Zhang, Yunsheng Xu. Vague Weighted Decision-Making Method and Its Application in Sugarcane Breeding. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. pp.85-91, ⟨10.1007/978-3-642-27275-2_9⟩. ⟨hal-01361122⟩

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