Abstract
The Vague optimization method sorted out is a special case of the pattern recognition method of the Vague set. Its specific application steps are as follows: 1 the set-up of characters to determine the evaluation; 2 the establishment of a collection of new varieties of wheat to be optimized; 3 the extract of the ideal set of new wheat varieties ; 4 the construction of Vague environment to collect all varieties of Vague sets; 5 the Vague optimization: to calculate similarity measures between Vague sets to obtain the new wheat varieties based on numerical similarity measures and to propose the similarity measures formula between the Vague sets. This optimization formula is supported by Vague class techniques. Breeding new varieties of wheat with comprehensive quality traits is one of the directions in wheat breeding. It is a new attempt to study the wheat assessment of the new wheat varieties with the application of optimization methods. The wheat assessment case of the new wheat varieties shows that both the formula and the method are practical.
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References
Gau, W.-L., Buehrer, D.J.: Vague Sets. IEEE Transactions on Systems, Man and Cybernetics 23(2), 610–614 (1993)
Zadeh, L.A.: Fuzzy Sets. Information and Control (8), 338–353 (1965)
Wang, H.-x.: Definition and transforming formulas from the single valued data to the vague valued data. Computer Engineering and Applications 46(24), 42–44 (2010)
Liu, H.-W., Wang, F.-Y.: Transformations and Similarity Measures of Vague Sets. Computer Engineering and Applications 40(32), 79–81 (2004)
Wang, H.-X.: Similarity measure between vague sets and their application. Computer Engineering and Applications 46(26), 198–199 (2010)
Wang, H.-X.: Synthesis decision rule of vague sets and its application in scheme optimum seeking. Computer Engineering and Applications 46(27), 145–147 (2010)
Modeleto, Erdunga, Bayilatu, et al.: The fuzzy comprehensive evaluation to the application of new wheat evaluation. Inner Mongolia Agricultural Science and Technology (1), 37–38 (2007)
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© 2012 IFIP International Federation for Information Processing
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Wang, H., Zhang, F., Xu, Y. (2012). Evaluating New Varieties of Wheat with the Application of Vague Optimization Methods. In: Li, D., Chen, Y. (eds) Computer and Computing Technologies in Agriculture V. CCTA 2011. IFIP Advances in Information and Communication Technology, vol 369. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27278-3_13
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DOI: https://doi.org/10.1007/978-3-642-27278-3_13
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