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 Wysłany: Pią 10:18, 14 Sty 2011 Temat postu: Wheat varieties to wheat aphid resistance fuzzy in |
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Wheat varieties to wheat aphid resistance fuzzy integrated decision-making
Factors determine the type to Mainfactordecidermethod. . (R); M (V ·.): The main factors highlight the type of site iv thodej = Malnfactors Ⅱ】 (·); M ,[link widoczny dla zalogowanych],(,[link widoczny dla zalogowanych]。.): factors sum Shan Thesum. {A ¨ hctorB, =. Main (~); M4 \'): Weighted average type _ ● wghledaver ~ erneIl coral d set ('~); M5 (General Man) Yan hes, 4 home Lf with 1h! Shan kw failure 2 2 normalized attack bamboo mat satin knot storm c) Table2NornmlresultsofgradeBJudsedectsloa (B.. B = Aos! rsIorABCDEFGHIJV, A) 0.076100619004520.09190.0648006700.10520.13130.17290.1837V. *) 007520.0494006210.0913008040.0928009840. I1080.14580.19370. A) 0.05000.03930.04830.0770009390081901288014790.16450.16840. ·) O058700371004600.07230.08990.07280.12320.14660.16990.1834 integrated) 0.06500.0469005040.0831008230.0786011390.134201633018234 fuzzy integrated decision-making discussions is the key to establishing the single factor structure and the fuzzy membership function, and Fuzzy membership functions related to establishing the need for a large number of tests. Fuzzy membership function of this paper is the establishment of 50 wheat varieties in the Determination of resistance to aphids, based on the values of the indices of regression analysis and fuzzy set, so only the results of the accuracy and application of universal values . The same results with the field of decision-making aphid under the amount of risk index _4 loss of yield compared to the analysis,[link widoczny dla zalogowanych], the results. Although the decision-making between the different operators is consistent. However, the focus of the different operators is different. (V.A) Operational highlights two poles. Pleasing end. Loss of large amount of information; (V, ·) operation highlighted the strong value of each factor; (0.A) operation taking into account all factors,[link widoczny dla zalogowanych], the overall consideration; (0, -) operation taking into account all factors, but also has the right to vector of meaning; retain more comprehensive information to improve decision-making accuracy. Thus in the specific application requirements to be selected according to different decision-making use. Resistant varieties asked to measure the difference,[link widoczny dla zalogowanych], often by a single factor or several factors to ask a simple analogy. The result will inevitably be a large gap j. At the same time. The single factor Q is often conflicting trends appear the phenomenon of resistance. Which targets the same species using different analysis. The resistance level is not consistent. The result is often subjective and blindness. The proposed system can be a good decision-making index system to measure the resistance between different species, with accurate and rapid characteristics; the fuzzy comprehensive decision model has wide application. Acknowledgements Thanks to Professor Liu Shaoyou advice. Thank you.
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