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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 | Clustering by Fast Search and Find of Density Peaks with Data Field显示文摘A clustering algorithm named 'Clustering by fast search and find of density peaks' is for finding the centers of clusters quickly. Its accuracy excessively depended on the threshold, and no efficient way was given to select its suitable value, i.e., the value was suggested be estimated on the basis of empirical experience. A new way is proposed to automatically extract the optimal value of threshold by using the potential entropy of data field from the original dataset. For any dataset to be clustered, the threshold can be calculated from the dataset objectively instead of empirical estimation. The results of comparative experiments have shown the algorithm with the threshold from data field can get better clustering results than with the threshold from empirical experience. | WANG Shuliang WANG Dakui LI Caoyuan LI Yan DING Gangyi | 2016 | Chinese Journal of Electronics2016，25，3： | 60 |
| 6 | Hybrid-augmented intelligence: collaboration and cognition显示文摘人工智能追求的长期目标是使机器能像人一样学习和思考。由于人类面临的许多问题具有不确定性、脆弱性和开放性,任何智能程度的机器都无法完全取代人类,这就需要将人的作用或人的认知模型引入到人工智能系统中,形成混合-增强智能的形态,这种形态是人工智能或机器智能的可行的、重要的成长模式。混合-增强智能可以分为两类基本形式:一类是人在回路的人机协同混合增强智能,另一类是将认知模型嵌入机器学习系统中,形成基于认知计算的混合智能。本文讨论人机协同的混合-增强智能的基本框架,以及基于认知计算的混合-增强智能的基本要素:直觉推理与因果模型、记忆和知识演化;特别论述了直觉推理在复杂问题求解中的作用和基本原理,以及基于记忆与推理的视觉场景理解的认知学习网络;阐述了竞争-对抗式认知学习方法,并讨论了其在自动驾驶方面的应用;最后给出混合-增强智能在相关领域的典型应用。 | Nan-ning ZHENG Zi-yi LIU Peng-ju REN Yong-qiang MA Shi-tao CHEN Si-yu YU Jian-ru XUE Ba-dong CHEN Fei-yue WANG | 2017 | Frontiers of Information Technology & Electronic Engineering2017，18，2： | 51 |
| 7 | RESEARCH OF QUANTUM GENETIC ALGORITH AND ITS APPLICATION IN BLIND SOURCE SEPARATION显示文摘This letter proposes two algorithms: a novel Quantum Genetic Algorithm (QGA)based on the improvement of Han's Genetic Quantum Algorithm (GQA) and a new Blind Source Separation (BSS) method based on QGA and Independent Component Analysis (ICA). The simulation result shows that the efficiency of the new BSS method is obviously higher than that of the Conventional Genetic Algorithm (CGA). | Yang Junan Li Bin Zhuang Zhenquan (Department of Electronic Science & Technology, USTC, Hefei 230026) | 2003 | Journal of Electronics(China)2003，20，1： | 60 |
| 8 | Resemblance Coefficient Based Intrapulse Feature Extraction Approach for Radar Emitter Signals显示文摘Radar emitter signal recognition plays an important role in electronic intelligence and electronic support measure systems. To enhance accurate recognition rate of advanced radar emitter signals to meet the requirement of modern electronic warfare, Resemblance coefficient (RC) approach is proposed to extract features from radar emitter signals with different intrapulse modulation laws. Definition of RC is given. Properties and advantages of RC are analyzed. Feature extraction algorithm using RC is described in detail. The noise-suppression performances of RC features are also analyzed. Subsequently, neural networks are used to design classifiers. Because RC contains the change and distribution information of amplitude, phase and frequency of radar emitter signals, RC can reflect the intrapulse modulation laws effectively. The results of theoretical analysis and simulation experiments show that RC features have good characteristic of not being sensitive to noise. 9 radar emitter signals are chosen to make the experiment of RC feature extraction and automatic recognition. A large number of experimental results show that good accurate recognition rate can be achieved using the proposed approach. It is proved to be a valid and practical approach. | ZHANGGexiang JINWeidong HULaizhao | 2005 | Chinese Journal of Electronics2005，14，2： | 43 |
| 9 | 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 |
| 10 | 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 |
| 11 | 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 |
| 12 | 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 |
| 13 | 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 |
| 14 | 人工智能在智能制造领域的应用研究(英文)显示文摘本文基于作者团队近年来在人工智能技术应用于制造领域的研究与实践,首先,简析了'互联网+人工智能'时代核心技术飞速发展正引发制造领域的模式、手段和生态系统的重大变革以及人工智能的新发展。接着基于人工智能技术与信息通信技术、制造技术及产品有关专业技术等融合,研究提出了智能制造新模式、新手段、新业态,智能制造系统体系架构和智能制造系统技术体系。进而,从智能制造的应用技术、产业和应用示范等角度,简述智能制造领域的国内外发展现状。最后,针对我国人工智能2.0在智能制造领域应用研究内容提出了建议。 | Bo-hu LI Bao-cun HOU Wen-tao YU Xiao-bing LU Chun-wei YANG | 2017 | Frontiers of Information Technology & Electronic Engineering2017，18，1： | 38 |
| 15 | 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 |
| 16 | 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 |
| 17 | The Wolf Colony Algorithm and Its Application显示文摘 | LIU Changan YAN Xiaohu LIU Chunyang WU Hua | 2011 | Chinese Journal of Electronics2011，20，2： | 34 |
| 18 | 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 |
| 19 | 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 |
| 20 | A Text Sentiment Classification Modeling Method Based on Coordinated CNN-LSTM-Attention Model显示文摘The major challenge that text sentiment classification modeling faces is how to capture the intrinsic semantic, emotional dependence information and the key part of the emotional expression of text. To solve this problem, we proposed a Coordinated CNNLSTM-Attention(CCLA) model. We learned the vector representations of sentence with CCLA unit. Semantic and emotional information of sentences and their relations are adaptively encoded to vector representations of document.We used softmax regression classifier to identify the sentiment tendencies in the text. Compared with other methods, the CCLA model can well capture the local and long distance semantic and emotional information.Experimental results demonstrated the effectiveness of CCLA model. It shows superior performances over several state-of-the-art baseline methods. | ZHANG Yangsen ZHENG Jia JIANG Yuru HUANG Gaijuan CHEN Ruoyu | 2019 | Chinese Journal of Electronics2019，28，1： | 32 |
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