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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Communication dans un congrès
Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-370, pp.85-91, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27275-2_9〉
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Hongxu Wang, Fujin Zhang, Yunsheng Xu. Vague Weighted Decision-Making Method and Its Application in Sugarcane Breeding. Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-370, pp.85-91, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27275-2_9〉. 〈hal-01361122〉

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