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Articles by Sha Fu
Total Records ( 6 ) for Sha Fu
  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.
  Hangjun Zhou , Zhongli Liu , Sha Fu and Guang Sun
  In a large-scale peer-to-peer DVE (Distributed Virtual Environment) system running on the WAN (Wide Area Network) without the central control node, it is one of the most challenging problems to preserve the causality of all the simulation events on each node with asynchronous clock. However, the most existing asynchronous causality control methods seem to be inefficient to resolve the problem for applying either too closely coupled causal control information with system scale to achieve the real-time preservation or too little control information in a message to maintain the correct causality. In this paper, a novel causal order control approach with the deduction of the minimal calculable moment and the distributed preservation algorithm is proposed to achieve the correct cause-effect relationship among all the simulation events on each node. The experimental results demonstrate that comparing with the representative existing methods the proposed approach can cost lower transmission and calculation overhead with proper amount of causal control information in a message and ensure the real-time preservation of causality with asynchronous clocks.
  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.
  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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