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2010 2nd International Conference on Industrial Mechatronics and Automation, ICIMA 2010

作者： Cao, Jianguo Tao, Liang Department of Computer Science Anhui Vocational and Technical College of Industry and Trade Huainan 232007 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China

ISBN: (纸本)9781424476541

Particle swarm optimization (PSO) is a recently proposed population-based random search algorithm, which performs well in some optimization problems. In this paper, we proposed an improved PSO algorithm to solve portfolio selection problems. The proposed approach IPSO employs an opposite mutation operator to enhance the performance of the standard PSO. In order to verify the performance of IPSO, we test it on five well-known benchmark function optimization problems. At last, we use IPSO to solve a classical portfolio selection problem. The results show that the proposed approach is effective and achieves better results than standard PSO. ©2010 IEEE.

关键词： Particle swarm optimization (PSO)

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Ontology mapping based on structures and instances

Ontology mapping based on structures and instances

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International Conference on Machine Learning and Cybernetics

作者： Zheng, Cheng Shen, Ya-Ping Mei, Lin Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University China School of Computer Science Anhui University Hefei 230039 China School of Adult Education Anhui Agricultural University Hefei 230036 China

ISBN: (纸本)9781424465262

Ontology mapping is to find the mapping relationship between different ontology to reuse and share ontology. In this paper we present a multi-strategy ontology mapping technique based on the structure and instance. When the similarity between the mapping pairs is approximating to the threshold, context structures are used to judge their similarity. The key of the instance mapping is calculating the instance similarity. Firstly the instance is preprocessed. Then set similarity and probability similarity based on Bayesian theory is calculated respectively. Finally instance similarity is calculated by the set similarity and probability similarity comprehensively. Experimental results show its effectiveness. © 2010 IEEE.

关键词： Ontology

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Optimal combination of conflicting evidence based on genetic algorithm

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ICIC Express Letters 2011年第4 A期5卷 1145-1150页

作者： Jiang, Wen Peng, Jinye Deng, Yong School of Electronics and Information Northwestern Polytechnical University No. 127 Youyixi Road Xi'an 710072 China Hangzhou Key Lab of E-Business and Information Security Hangzhou Normal University No. 16 Xuelin Street Xiasha Higher Education Zone Hanzhou 310036 China Key Laboratory of Intelligent Computing and Information Processing Ministry of Education Xiangtan University Xiangtan 411105 China School of Computer and Information Sciences Southwest University No. 2 Tiansheng Road Beibei District Chongqing 400715 China School of Electronics and Information Technology Shanghai Jiao Tong University No. 800 Dongchuan Road Shanghai 200240 China

The Dempster-Shafer (D-S) evidence theory is widely used in many fields of information fusion. However, counter-intuitive results may be obtained by the classical Dempster combination rule when collected evidences are highly in conflict with each other. So an optimal weighted average information fusion method is proposed. Firstly, the global distance of the weighted evidence is presented based on the distance function. Secondly, the optimal weight of every evidence body was acquired by genetic algorithm, while the global distance is the minimum. Finally, the weighted average of the masses is combined by classical Dempster's rule. Compared with existing methods, the proposed optimal method can effectively handle conflicting evidence with better performance of convergence. Numerical examples are illustrated the effectiveness of the proposed method. ICIC International © 2011.

关键词： Genetic algorithms

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Determination of relative significance factor of impact categories based on fuzzy multiattribute decision-making method

Determination of relative significance factor of impact cate...

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Chinese Control and Decision Conference, CCDC

作者： Xinyang Deng Yajuan Zhang Bingyi Kang Jiyi Wu Xiaohong Sun Yong Deng School of Computer and Information Sciences Southwest University Chongqing China Hangzhou Key Laboratory of E-Business and Information Security Hangzhou Normal University Hangzhou Zhejiang China College of Food Science and Technology Shanghai Ocean University Shanghai China Laboratory of Intelligent Computing & Information Processing of Ministry of Education Xiangtan University Xiangtan Hunan China School of Electronics & Information Technology Shanghai Jiaotong University Shanghai China Laboratory of National defense for Radioactive Waste and Environmental Security Southwest University of Science and Technology Mianyang China

A relative significance factor of an impact category is the external weight of the impact category and plays an important role in life cycle assessment(LCA). Many multiattribute decision-making (MADM) methods such as analytical hierarchy process(AHP), the rank-order centroid method and the fuzzy method are proposed to determine the relative significance factor of an impact category. However, in previous research, it is shown that, the AHP approach is difficult for experts rendering consistent judgment when the number of pairwise comparisons increases, the rank-order method has some insurmountable shortcomings, the key issue to use fuzzy set theory is its complexity. In order to address this problem, a new simple and efficient method is proposed to determine relative significance factor in a more efficient manner. An example to determine relative significance factor of impact categories is shown to illustrate the efficiency of the proposed method.

关键词： Decision making educational institutions Complexity theory Pragmatics Uncertainty Fuzzy set theory Fuzzy sets

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Aggregation of interval numbers in group decision making

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ICIC Express Letters 2011年第4 A期5卷 1057-1062页

作者： Deng, Yong Wu, Jiyi Sun, Xiaohong Xu, Peida Zhang, Yajuan College of Computer and Information Sciences Southwest University Tiansheng Road Beibei District Chongqing 400715 China Hangzhou Key Lab of E-Business and Information Security Hangzhou Normal University No. 16 Xuelin Street Xiasha Higher Education Zone Hanzhou 310036 China Key Laboratory of Intelligent Computing and Information Processing Ministry of Education Xiangtan University Xiangtan 411105 China College of Food Science and Technology Shanghai Ocean University Hu Cheng Loop-road Lingang New City Shanghai 201306 China School of Electronics and Information Technology Shanghai Jiao Tong University Dongchuan Rd. Shanghai 200240 China

A group of decision-makers may differ in their choice of alternatives while taking a decision. So, in any decision-making problem concerning decisions made by a group, the question arises how best we can aggregate individual choices into a general consensus choice. Due to the inherent uncertain property of the problems in the ambiguous decision domain, the decision makers may use interval numbers to represent their opinions in some situations. In this paper, a simple method is proposed to aggregate interval numbers. Some desirable properties of this method are also discussed. Finally, a numerical example is given to show the use of the proposed method. ICIC International © 2011.

关键词： Aggregates

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The SP-FDTD method for high-order FDTD plane wave injection

The SP-FDTD method for high-order FDTD plane wave injection

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2010 9th International Symposium on Antennas Propagation and EM Theory, ISAPE 2010

作者： Wang, Hui Huang, Zhi-Xiang Wu, Xian-Liang Sun, Jia-Xun Ren, Xin-Gang Wu, Lei Key Lab. of Intelligent Computing and Signal Processing Anhui University Ministry of Education Hefei China Department of Physics and Electronic Engineering Hefei Normal University Hefei China

ISBN: (纸本)9781424469062

In the paper, the method of splitting plane wave FDTD (SP-FDTD) algorithm, an efficient method of introducing plane wave source into finite difference time domain grids, is presented for solving oblique incident wave for the modified high-order FDTD (M24 scheme). Numerical examples in 2-D demonstrate the valid of the method and normalized field leakage was measured at -320 dB levels. ©2010 IEEE.

关键词： Numerical methods

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An efficient splitting the plane-wave FDTD method

An efficient splitting the plane-wave FDTD method

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2010 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2010

作者： Hui, Wang Zhi-Xiang, Huang Xian-Liang, Wu Xiao-Yong, Liu Key Lab. of Intelligent Computing and Signal Processing Anhui University Ministry of Education Hefei China Department of Physics and Electronic Engineering Hefei Normal University Hefei China

ISBN: (纸本)9781424457052

The paper presents a new efficient method of introduction of plane wave source into finite difference time domain (FDTD) grids: the method of splitting the plane-wave FDTD (SP-FDTD). The new equations for the 1-D propagator are based on spitted-field Maxwell's equations, and the propagator makes the 1-D and 2-D dispersion equations identical. The technique virtually eliminates numerical dispersion, filed location and polarization mismatches between propagator and main grid, for a plane wave propagating at an angle forming an integer grid cell ratio, which can represent almost any angle in theory. Through the leak test of the different incident angles of the Gauss pulse plane wave source in 2-D, it shows that, the technique can achieve a perfect total-field scattered-field separation, making leakage down to -340 dB levels. © 2010 IEEE.

关键词： Maxwell equations

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Numerical simulation of GPR based on 3-D high-order FDTD

Numerical simulation of GPR based on 3-D high-order FDTD

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2010 9th International Symposium on Antennas Propagation and EM Theory, ISAPE 2010

作者： Mei, Yi-Cai Huang, Zhi-Xiang Wu, Xian-Liang Ren, Xin-Gang Du, Hong-Mei Key Lab. of Intelligent Computing and Signal Processing Anhui University Ministry of Education Hefei China Department of Physics and Electronic Engineering Hefei Normal University Hefei China

ISBN: (纸本)9781424469062

The high-order finite-difference time-domain (HO-FDTD) technique is used in the simulation of ground-penetrating radar modeling in three dimensions (3-D), which can improve accuracy and reduce the error caused by numerical dispersion effectively. To absorb waves reflected from edges we implement convolutional perfectly matched layer (CPML) absorbing boundaries. It can efficiently absorb the reflections and greatly increase the computation efficiency. The surface-based reflection and cross-hole GPR modeling are simulated, and numerical results show the efficiency of the method. ©2010 IEEE.

关键词： Ground penetrating radar systems

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The SP-FDTD method for High-Order FDTD Plane Wave Injection

The SP-FDTD method for High-Order FDTD Plane Wave Injection

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第九届国际天线、电波传播及电磁理论学术研讨会(ISAPE2010)

作者： Lei Wu Zhi-xiang Huang Hui Wang Jia-xun Sun Xin-gang Ren Xian-liang Wu Key Lab of Intelligent Computing & Signal Processing Anhui University Ministry of Education Hefei Key Lab of Intelligent Computing & Signal Processing Anhui University Ministry of Education Hefei

关键词： Time domain analysis Finite difference methods Antennas

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An Efficient Splitting the Plane-wave FDTD Method

An Efficient Splitting the Plane-wave FDTD Method

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2010 International Conference on Microwave and Millimeter Wave Technology(2010国际微波与毫米波技术会议 ICMMT2010)

作者： Wang Hui Huang Zhi-xiang Liu Xiao-yong Wu Xian-liang Key Lab of Intelligent Computing & Signal Processing Anhui University Ministry of Education Hefei Key Lab of Intelligent Computing & Signal Processing Anhui University Ministry of Education Hefei

关键词： Finite difference time domain total-field scattered-field separation the method of splitting the plane-wave FDTD (SP-FDTD)

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