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| 1 | S-rough sets and knowledge separation显示文摘The conceptions of the knowledge screen generated by S-rough sets are given: f- screen and - screen , and then puts forward - filter theorem, - filter theorem of knowledge. At last, the applications of knowledge separation are given according to - screen and - screen. | Shi Kaiquan 1,21. School of Mathematics and System Sciences, Liaocheng University, Liaocheng 252059, P. R. China 2. School of Mathematics and System Sciences, Shandong University, Jinan 250100, P. R. China | 2005 | Journal of Systems Engineering and Electronics2005，16，2： | 104 |
| 2 | Hybridizing grey wolf optimization with differential evolution for global optimization and test scheduling for 3D stacked SoC显示文摘A new meta-heuristic method is proposed to enhance current meta-heuristic methods for global optimization and test scheduling for three-dimensional(3D) stacked system-on-chip(SoC) by hybridizing grey wolf optimization with differential evolution(HGWO). Because basic grey wolf optimization(GWO) is easy to fall into stagnation when it carries out the operation of attacking prey, and differential evolution(DE) is integrated into GWO to update the previous best position of grey wolf Alpha, Beta and Delta, in order to force GWO to jump out of the stagnation with DE's strong searching ability. The proposed algorithm can accelerate the convergence speed of GWO and improve its performance.Twenty-three well-known benchmark functions and an NP hard problem of test scheduling for 3D SoC are employed to verify the performance of the proposed algorithm. Experimental results show the superior performance of the proposed algorithm for exploiting the optimum and it has advantages in terms of exploration. | Aijun Zhu Chuanpei Xu Zhi Li Jun Wu Zhenbing Liu | 2015 | Journal of Systems Engineering and Electronics2015，26，2： | 83 |
| 3 | Aggregation operators on intuitionistic trapezoidal fuzzy number and its application to multi-criteria decision making problems显示文摘Intuitionistic trapezoidal fuzzy numbers and their operational laws are defined. Based on these operational laws, some aggregation operators, including intuitionistic trapezoidal fuzzy weighted arithmetic averaging operator and weighted geometric averaging operator are proposed. Expected values, score function, and accuracy function of intuitionitsic trapezoidal fuzzy numbers are defined. Based on these, a kind of intuitionistic trapezoidal fuzzy multi-criteria decision making method is proposed. By using these aggregation operators, criteria values are aggregated and integrated intuitionistic trapezoidal fuzzy numbers of alternatives are attained. By comparing score function and accuracy function values of integrated fuzzy numbers, a ranking of the whole alternative set can be attained. An example is given to show the feasibility and availability of the method. | Wang Jianqiang Zhang Zhong | 2009 | Journal of Systems Engineering and Electronics2009，20，2： | 63 |
| 4 | Study on effectiveness evaluation of weapon systems based on grey relational analysis and TOPSIS显示文摘To evaluate the effectiveness of weapon systems, the advantages and disadvantages of grey relational analysis and TOPSIS for multiattribute decision-making is pointed out, and an effectiveness evaluation model of weapon systems by combining grey relational analysis and TOPSIS is proposed. The model aggregates the grey relational grade and the distance to a new integrated closeness and reflects not only the trend but also the situation of the alternative. The example illuminates that the model is effective for the effectiveness evaluation of weapon systems. | Gu Hui Song Bifeng | 2009 | Journal of Systems Engineering and Electronics2009，20，1： | 53 |
| 5 | Survey of the research on dynamic weapon-target assignment problem显示文摘The basic concepts and models of weapon-target assignment (WTA) are introduced and the mathematical nature of the WTA models is also analyzed. A systematic survey of research on WTA problem is provided. The present research on WTA is focused on models and algorithms. In the research on models of WTA, the static WTA models are mainly studied and the dynamic WTA models are not fully studied in deed. In the research on algorithms of WTA, the intelligent algorithms are often used to solve the WTA problem. The small scale of static WTA problems has been solved very well, however, the large scale of dynamic WTA problems has not been solved effectively so far. Finally, the characteristics of dynamic WTA are analyzed and directions for the future research on dynamic WTA are discussed. | Cai Huaiping Liu Jingxu Chen Yingwu Wang Hao | 2006 | Journal of Systems Engineering and Electronics2006，17，3： | 43 |
| 6 | Research on robust fault-tolerant control for networked control system with packet dropout显示文摘A kind of networked control system with network-induced delay and packet dropout, modeled on asynchronous dynamical systems was tested, and the integrity design of the networked control system with sensors failures and actuators failures was analyzed using hybrid systems technique based on the robust fault-tolerant control theory. The parametric expression of controller is given based on the feasible solution of linear matrix inequality. The simulation results are provided on the basis of detailed theoretical analysis, which further demonstrate the validity of the proposed schema. | Huo Zhihong Fang Huajing | 2007 | Journal of Systems Engineering and Electronics2007，18，1： | 50 |
| 7 | Multi-attribute decision making method for air target threat evaluation based on intuitionistic fuzzy sets显示文摘The function of the air target threat evaluation (TE) is the foundation for weapons allocation and senor resources management within the surface air defense. The multi-attribute evaluation methodology is utilized to address the issue of the TE in which the tactic features of the detected target are treated as evaluation attributes. Meanwhile, the intuitionistic fuzzy set (IFS) is employed to deal with information uncertainty in the TE process. Furthermore, on the basis of the entropy weight and inclusion-comparison probability, a hybrid TE method is developed. In order to accommodate the demands of naturalistic decision making, the proposed method allows air defense commanders to express their intuitive opinions besides incorporating into the threat features of the detected target. An illustrative example is provided to indicate the feasibility and advantage of the proposed method. | Yongjie XU YongchunWang Xudong Miu | 2012 | Journal of Systems Engineering and Electronics2012，23，6： | 41 |
| 8 | Autonomous air combat maneuver decision using Bayesian inference and moving horizon optimization显示文摘To reach a higher level of autonomy for unmanned combat aerial vehicle(UCAV) in air combat games, this paper builds an autonomous maneuver decision system. In this system,the air combat game is regarded as a Markov process, so that the air combat situation can be effectively calculated via Bayesian inference theory. According to the situation assessment result,adaptively adjusts the weights of maneuver decision factors, which makes the objective function more reasonable and ensures the superiority situation for UCAV. As the air combat game is characterized by highly dynamic and a significant amount of uncertainty,to enhance the robustness and effectiveness of maneuver decision results, fuzzy logic is used to build the functions of four maneuver decision factors. Accuracy prediction of opponent aircraft is also essential to ensure making a good decision; therefore, a prediction model of opponent aircraft is designed based on the elementary maneuver method. Finally, the moving horizon optimization strategy is used to effectively model the whole air combat maneuver decision process. Various simulations are performed on typical scenario test and close-in dogfight, the results sufficiently demonstrate the superiority of the designed maneuver decision method. | HUANG Changqiang DONG Kangsheng HUANG Hanqiao TANG Shangqin ZHANG Zhuoran | 2018 | Journal of Systems Engineering and Electronics2018，29，1： | 49 |
| 9 | Hybrid artificial bee colony algorithm with variable neighborhood search and memory mechanism显示文摘Artificial bee colony(ABC) is one of the most popular swarm intelligence optimization algorithms which have been widely used in numerical optimization and engineering applications. However, there are still deficiencies in ABC regarding its local search ability and global search efficiency. Aiming at these deficiencies,an ABC variant named hybrid ABC(HABC) algorithm is proposed.Firstly, the variable neighborhood search factor is added to the solution search equation, which can enhance the local search ability and increase the population diversity. Secondly, inspired by the neuroscience investigation of real honeybees, the memory mechanism is put forward, which assumes the artificial bees can remember their past successful experiences and further guide the subsequent foraging behavior. The proposed memory mechanism is used to improve the global search efficiency. Finally, the results of comparison on a set of ten benchmark functions demonstrate the superiority of HABC. | FAN Chengli FU Qiang LONG Guangzheng XING Qinghua | 2018 | Journal of Systems Engineering and Electronics2018，29，2： | 49 |
| 10 | Research on evaluations of several grey relational models adapt to grey relational axioms显示文摘Grey relational analysis is an important part of the grey systems theory, and it is the basis of the grey clustering analysis, grey decision-making and grey controlling. To research whether grey relational models satisfy the four grey relational theorems, several kinds of grey relational models are commented. Some problems including the properties of normality, pair symmetry and wholeness are discussed. The phenomenon that the lower value of almost each grey relational model is not equal to zero is proved. The contradiction problems between the properties of wholeness and pair symmetry are verified. Finally, several propositions are constructed to explain the above problems. | Xie Naiming Liu Sifeng | 2009 | Journal of Systems Engineering and Electronics2009，20，2： | 34 |
| 11 | New chaotic system and its hyperchaos generation显示文摘To seek for lower-dimensional chaotic systems that have complex topological attractor structure with simple algebraic system structure, a new chaotic system of three-dimensional autonomous ordinary differential equations is presented. The new system has simple algebraic structure, and can display a 2-scroll attractor with complex topological structure, which is different from the Lorenz's, Chen's and Lu¨'s attractors. By introducing a linear state feedback controller, the system can be controlled to generate a hyperchaotic attractor. The novel chaotic attractor, hyperchaotic attractor and dynamical behaviors of corresponding systems are further investigated by employing Lyapunov exponent spectrum, bifurcation diagram, Poincar′e mapping and phase portrait, etc., and then verified by simulating an experimental circuit. | Bao Bocheng Liu Zhong Xu Jianping | 2009 | Journal of Systems Engineering and Electronics2009，20，6： | 34 |
| 12 | Fast-moving target tracking based on mean shift and frame-difference methods显示文摘The mean shift tracker has difficulty in tracking fast moving targets and suffers from tracking error accumulation problem.To overcome the limitations of the mean shift method,a new approach is proposed by integrating the mean shift algorithm and frame-difference methods.The rough position of the moving target is first located by the direct frame-difference algorithm and three-frame-difference algorithm for the immobile camera scenes and mobile camera scenes,respectively.Then,the mean shift algorithm is used to achieve precise tracking of the target.Several tracking experiments show that the proposed method can effectively track first moving targets and overcome the tracking error accumulation problem. | Hongpeng Yin Yi Chai Simon X. Yang Xiaoyan Yang | 2011 | Journal of Systems Engineering and Electronics2011，22，4： | 31 |
| 13 | Optimization approach of background value and initial item for improving prediction precision of GM(1,1) model显示文摘A combination method of optimization of the background value and optimization of the initial item is proposed. The sequences of the unbiased exponential distribution are simulated and predicted through the optimization of the background value in grey differential equations. The principle of the new information priority in the grey system theory and the rationality of the initial item in the original GM(1,1) model are fully expressed through the improvement of the initial item in the proposed time response function. A numerical example is employed to illustrate that the proposed method is able to simulate and predict sequences of raw data with the unbiased exponential distribution and has better simulation performance and prediction precision than the original GM(1,1) model relatively. | Yuhong Wang Qin Liu Jianrong Tang Wenbin Cao Xiaozhong Li | 2014 | Journal of Systems Engineering and Electronics2014，25，1： | 32 |
| 14 | Convolutional neural networks for time series classification显示文摘Time series classification is an important task in time series data mining, and has attracted great interests and tremendous efforts during last decades. However, it remains a challenging problem due to the nature of time series data: high dimensionality,large in data size and updating continuously. The deep learning techniques are explored to improve the performance of traditional feature-based approaches. Specifically, a novel convolutional neural network(CNN) framework is proposed for time series classification. Different from other feature-based classification approaches,CNN can discover and extract the suitable internal structure to generate deep features of the input time series automatically by using convolution and pooling operations. Two groups of experiments are conducted on simulated data sets and eight groups of experiments are conducted on real-world data sets from different application domains. The final experimental results show that the proposed method outperforms state-of-the-art methods for time series classification in terms of the classification accuracy and noise tolerance. | Bendong Zhao Huanzhang Lu Shangfeng Chen Junliang Liu Dongya Wu | 2017 | Journal of Systems Engineering and Electronics2017，28，1： | 33 |
| 15 | Joint TDOA and AOA location algorithm显示文摘For the joint time difference of arrival(TDOA) and angle of arrival(AOA) location scene,two methods are proposed based on the rectangular coordinates and the polar coordinates,respectively.The problem is solved perfectly by calculating the target position with the joint TDOA and AOA location.On the condition of rectangular coordinates,first of all,it figures out the radial range between target and reference stations,then calculates the location of the target.In the case of polar coordinates,first of all,it figures out the azimuth between target and reference stations,then figures out the radial range between target and reference stations,finally obtains the location of the target.Simultaneously,simulation analyses show that the theoretical analysis is correct,and the proposed methods also provide the application of the joint TDOA and AOA location algorithm with the theoretical basis. | Congfeng Liu Jie Yang Fengshuai Wang | 2013 | Journal of Systems Engineering and Electronics2013，24，2： | 30 |
| 16 | Hybrid optimization algorithm based on chaos,cloud and particle swarm optimization algorithm显示文摘As for the drop of particle diversity and the slow convergent speed of particle in the late evolution period when particle swarm optimization(PSO) is applied to solve high-dimensional multi-modal functions,a hybrid optimization algorithm based on the cat mapping,the cloud model and PSO is proposed.While the PSO algorithm evolves a certain of generations,this algorithm applies the cat mapping to implement global disturbance of the poorer individuals,and employs the cloud model to execute local search of the better individuals;accordingly,the obtained best individuals form a new swarm.For this new swarm,the evolution operation is maintained with the PSO algorithm,using the parameter of pop distr to balance the global and local search capacity of the algorithm,as well as,adopting the parameter of mix gen to control mixing times of the algorithm.The comparative analysis is carried out on the basis of 4 functions and other algorithms.It indicates that this algorithm shows faster convergent speed and better solving precision for solving functions particularly those high-dimensional multi-modal functions.Finally,the suggested values are proposed for parameters pop distr and mix gen applied to different dimension functions via the comparative analysis of parameters. | Mingwei Li Haigui Kang Pengfei Zhou Weichiang Hong | 2013 | Journal of Systems Engineering and Electronics2013，24，2： | 29 |
| 17 | A New Discipline of Science-The Study of Open Complex Giant System and Its Methodology显示文摘This paper introduces the conception of open complex giant system and the methodology for dealing with the system, with stress on its profound significance in development of science and technology. The authors conclude that the reductionism underlying the exact science is not suitable to open complex giant system, and the only feasible alternative is the meta-synthetic engineering from the qualitative to the quantitative. | Qian XuesenChina Association for Science and Technology, Beijing 100863, ChinaYu JingyuanBeijing Institute of Information and Control, P.O.Box 824, Beijing 100037, ChinaDai RuweiInstitute of Automation, Chinese Academy of Sciences, Beijing 100080, China | 1993 | Journal of Systems Engineering and Electronics1993，4，2： | 28 |
| 18 | Function S-Rough sets and its applications显示文摘Based on S-rough sets(singular rough sets), t hi s paper presents function S-rough sets (function singular rough sets)and its ma thematical structures and features. Function S-rough sets has two forms: functi on one direction S-rough sets (function one direction singular rough sets) and function two direction S-rough sets (function two direction singular rough sets ). This paper advances the relationship theorem of function S-rough sets and S -rough sets. Function S-rough sets is the general form of S-rough sets, and S -rough sets is the special case of function S-rough sets. In this paper, appli cations of function S-rough sets in rough law mining-discovery of system are g iven. Function S-rough sets is a new research direction of rough sets and rough system. | Cui Yuquan Shi Kaiquan | 2006 | Journal of Systems Engineering and Electronics2006，17，2： | 25 |
| 19 | Function S-rough sets and mining-discovery of rough law in systems显示文摘Function S-rough sets (function singular rough sets) is defined on α -function equivalence class [u]. Function S-rough sets is the extension form of S-rough sets. By using the function S-rough sets, this paper gives rough law generation model of α -function equivalence class, discussion on law mining and law discovery in systems, and application of law mining and law discovery in communication system. Function S-rough sets is a new theory and method in law mining research. | Shi Kaiquan Xia Jiarong | 2006 | Journal of Systems Engineering and Electronics2006，17，4： | 25 |
| 20 | Learning algorithm and application of quantum BP neural networks based on universal quantum gates显示文摘A quantum BP neural networks model with learning algorithm is proposed. First, based on the universality of single qubit rotation gate and two-qubit controlled-NOT gate, a quantum neuron model is constructed, which is composed of input, phase rotation, aggregation, reversal rotation and output. In this model, the input is described by qubits, and the output is given by the probability of the state in which |1 is observed. The phase rotation and the reversal rotation are performed by the universal quantum gates. Secondly, the quantum BP neural networks model is constructed, in which the output layer and the hide layer are quantum neurons. With the application of the gradient descent algorithm, a learning algorithm of the model is proposed, and the continuity of the model is proved. It is shown that this model and algorithm are superior to the conventional BP networks in three aspects: convergence speed, convergence rate and robustness, by two application examples of pattern recognition and function approximation. | Li Panchi Li Shiyong | 2008 | Journal of Systems Engineering and Electronics2008，19，1： | 26 |
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