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Articles by Dan Song
Total Records ( 6 ) for Dan Song
  Sha Fu , Hangjun Zhou , Dan Song and Yezhi Xiao
  According to the incomplete and fuzziness performance evaluation information, the performance evaluation of scientific innovation team in universities was studied based on the gray fuzzy theory, a more comprehensive set of indicator system was built to conduct a comprehensive evaluation. Based on gray system theory and fuzzy set theory, the membership and the gray-scale was introduced into the evaluating process, a gray fuzzy comprehensive evaluation model of scientific innovation team in universities was built, the feasibility and effectiveness of the model was proved through application.
  Dan Song , Gang Yan , Sha Fu , Yingfang Zhu , Caihong Wu and Ruifeng Du
  Memory mechanism is applied to the optimization algorithm by more study. In order to improve the algorithm of adaptive ability, introducing memory ability in evolutionary algorithm framework, an Adaptive Memory Evolution Algorithm (AMEA) is proposed. The algorithm set matrix to record the exploring experiences and exploring results of the individual parent. The algorithm uses these records to guide the generation of offspring. And thus AMEA can adaptively select the dimension to mutate and exploring radius. In addition, to improve the algorithm accuracy, the algorithm raises the best opportunities by using super-variation operator. In the simulation test, compared with similar algorithms, the results show that AMEA has fast convergence speed and optimum performance of global convergence.
  Sha Fu , Jian Chen , Hangjun Zhou , Dan Song and Yezhi Xiao
  With respect to the problem of multiple attribute decision-making with incomplete information on attribute weights to which the attribute values are given in terms of interval numbers, a decision method based on projection technique and prospect theory is proposed. The value function is built based on the distance formula of interval numbers, conbining with the idea of projection technique the multi-goal programming model is established to get a more accurate decision weights by using different approch on gains and lossed. Furthermore, the optimal solution based on the value of all programs sorts is figured out in the method with the comprehensive prospect values of each program calculated with the value function and decision-weighting function. Eventually, the feasibility and effectiveness of the proposed method is reasonably verified through solving a typical multi-attribute decision-making problem about the property buyers decision.
  Sha Fu , Zhongli Liu , Hangjun Zhou , Dan Song and Yezhi Xiao
  The study proposed a trapezoidal fuzzy numbers group decision making method based on attitude indicators, in order to solve the multi-attribute group decision making problem for the evaluation of the information given in the form of fuzzy language. Given the weights determining method of trapezoidal fuzzy number complementary judgment matrix under the case of the weight of each attribute, weight and decision-makers weight information are not entirely solved each attribute weight information according to this method, then introduced attitude indicators and put fuzzy language trapezoidal fuzzy number decision matrix into a decision matrix with attitude indicators. Use the incomplete decision making information to build target programming model to get the decision-makers weight to meet the objective function. Eventually, get the groups risk attitude and the programs comprehensive sorting situation by integrate the attitude indicators of decision-makers. The study also verified the feasibility and effectiveness of the proposed method by a numerical example.
  Shaoping Zhu and Dan Song
  In this study, a novel method based Multiple Instance Learning is proposed for human action recognition in video image sequences. First of all, HOG and T-HOG model is used for extracting space-time interest points feature, optical flow model is used for extracting motion features which are used to characterize human action. Then we combine spatial-temporal points of interest vector with the optical flow vector to form a hybrid feature vector. Final Multiple Instance Learning algorithm is presented which is used to recognize human actions. Experimental results show the effectiveness of the proposed method in comparison with other related works in the literature and the proposed method can enhance the robustness, also tolerate noise and interference conditions.
  Sha Fu , Zhongli Liu , Hangjun Zhou , Dan Song and Bo Li
  The study proposed a multiple attribute decision making method based on grey relational analysis, for the multiple attribute decision making problems with the evaluation information given in the form of intuition trapezoidal fuzzy numbers. First, give the definition of intuitionistic fuzzy numbers and distance formula and then obtained the grey relational coefficient about intuition trapezoidal fuzzy numbers based on grey relational analysis, to calculate the relational grade of each options by using relational coefficient and sort all the options by the size of this value in order to get the best option. Finally, it verified the feasibility and effectiveness of the proposed method through a numerical example.
 
 
 
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