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您的检索式：作者名="YAN Manting"
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| 1 | Multi-attribute group decision making method under 2-dimension uncertain linguistic variables显示文摘A method is proposed to deal with the uncertain multiple attribute group decision making problems,where 2-dimension uncertain linguistic variables(2DULVs)are used as the reliable way for the experts to express their fuzzy subjective evaluation information.Firstly,in order to measure the 2DULVs more accurately,a new method is proposed to compare two 2DULVs,called a score function,while a new function is defined to measure the distance between two 2DULVs.Secondly,two optimization models are established to determine the weight of experts and attributes based on the new distance formula and a weighted average operator is used to determine the comprehensive evaluation value of each alternative.Then,a score function is used to determine the ranking of the alternatives.Finally,the effectiveness of the proposed method is proved by an illustrated example. | JIANG Kexin ZHANG Quan YAN Manting | 2020 | Journal of Systems Engineering and Electronics2020，31，6： | 2 |
| 2 | HPLC analysis and purificationof peptides显示文摘 | Mant C T Chen Y Yan Z | 2007 | Methods Mol Biol2007，386，： | 1 |
| 3 | Product quality prediction based on RBF optimized by firefly algorithm显示文摘With the development of information technology,a large number of product quality data in the entire manufacturing process is accumulated,but it is not explored and used effectively.The traditional product quality prediction models have many disadvantages,such as high complexity and low accuracy.To overcome the above problems,we propose an optimized data equalization method to pre-process dataset and design a simple but effective product quality prediction model:radial basis function model optimized by the firefly algorithm with Levy flight mechanism(RBFFALM).First,the new data equalization method is introduced to pre-process the dataset,which reduces the dimension of the data,removes redundant features,and improves the data distribution.Then the RBFFALFM is used to predict product quality.Comprehensive expe riments conducted on real-world product quality datasets validate that the new model RBFFALFM combining with the new data pre-processing method outperforms other previous me thods on predicting product quality. | HAN Huihui WANG Jian CHEN Sen YAN Manting | 2024 | Journal of Systems Engineering and Electronics2024，35，1： | 0 |
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