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Fuzzy Matrix Game Perspective for Problems of Cooperation, Non-Cooperation, and Conflicts

IFAC Proceedings Volumes 2009年第25期42卷 48-53页

作者： V. Ojleska T.D. Kolemisevska-Gugulovska G.M. Dimirovski SS Cyril & Methodius University Faculty of EE & IT Inst. of Automation & Syst. Engineering Karpos 2 BB. MK-1000 Skopje R. Macedonia (phone: +389-2-3363566 ) Dogus University Faculty of Engineering Dept. of Computer Engineering Acibadem Zeamet Sk 2.1 TR-34722 Istanbul R. Turkey (phone: +90-216-5445555

In societal applications of systems science where competition under conflicting interests is pertinent to, the decision making faces situations in which one must decide whether to cooperate or not with a competitor or opponent. Each of the opponents (‘players’) has as well as carries own missions within the society out. At least two if not more parties need to make decisions under fully or partially conflicting objectives when involved in a dispute or open conflict. By and large decisions must be made under risk, uncertainty, and incomplete or fuzzy information implying large amounts of linguistic and probabilistic information. For cases of two opponents, the synergy of fuzzy control approach and matrix games seems rather effective to represent and find solutions for such multi-criteria conflicting situations. The fuzzy procedure is used to take into account some of the subjective attitudes of the decision makers that are difficult to model using classical game theory.

关键词： Decision making decision preference scheme games fuzzy games possibility measure matrix games

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Segmentation method of color images based on improved PCNN

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Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology 2009年第3期41卷 58-62页

作者： Cheng, Dan-Song Liu, Xiao-Fang Jin, Ye Wei, Zi-Yao Tang, Xiang-Long Liu, Jia-Feng School of Computer Science and Technology Harbin Institute of Technology Harbin 150001 China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin 150001 China Dept. of Computer Science and Engineering Beijing University of Aeronautics and Astronautics Beijing 100191 China

To overcome the limitation of the pulse-coupled neural network (PCNN) for its application in processing of color images, the hue data were introduced into the basic PCNN model by adopting the signal generator to control the internal activities of cells. The pixels with the same grey level and different hue data were pulsed separately in the double-input PCNN. It is indicated that the double-input PCNN can achieve the segmentation of color images and is robust to noises. The experimental results on synthetic images and natural images verify the validity of the model.

关键词： Image segmentation

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New coordination scheme for multi-robot systems based on state space models

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Journal of Systems engineering and Electronics 2008年第4期19卷 722-734页

作者： Xie Wenlong Su Jianbo Lin Zongli Dept. of Automation Shanghai Jiaotong Univ. Shanghai 200240 P. R. China Charles L. Brown Dept. of Electrical and Computer Engineering Univ of Virginia Charlottesville VA 22904-4743 USA

A new coordination scheme for multi-robot systems is proposed. A state space model of the multi- robot system is defined and constructed in which the system＇s initial and goal states are included along with the task definition and the system＇s internal and external constraints. Task accomplishment is considered a transition of the system state in its state space （SS） under the system＇s constraints. Therefore, if there exists a connectable path within reachable area of the SS from the initial state to the goal state, the task is realizable. The optimal strategy for the task realization under constraints is investigated and reached by searching for the optimal state transition trajectory of the robot system in the SS. Moreover, if there is no connectable path, which means the task cannot be performed Successfully, the task could be transformed to be realizable by making the initial state and the goal state connectable and finding a path connecting them in the system＇s SS. This might be done via adjusting the system＇s configuration and/or task constraints. Experiments of multi-robot formation control with obstacles in the environment are conducted and simulation results show the validity of the proposed method.

关键词： multi-robot system coordination state space formation maneuver subgoal

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A model of self-adaptive task allocation for multi-agents inspired by social insects

A model of self-adaptive task allocation for multi-agents in...

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1st International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2008

作者： Zhuang, Xiaodong Yin, Bo Electronics and Engineering Dept. Automation Engineering College Qingdao University Qingdao China Computer Science Dept. Ocean University of China Qingdao China

ISBN: (纸本)9780769533919

The Bee-Ant Task Allocation method is proposed as a model for multi-agent task allocation, which is inspired by the swarm intelligence mechanism of social insects. The Bee-Ant Task Allocation method is a variation of the Ant Colony Optimization, in which the task selection model of honeybees is adopted. Experimental results indicate the adaptability and robustness of the Bee-Ant Task Allocation method. © 2008 IEEE.

关键词： Ant colony optimization

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Deduction from conditional knowledge on Bayesian networks with interval probability parameters

Deduction from conditional knowledge on Bayesian networks wi...

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International Conference on computer Science and Software engineering, CSSE 2008

作者： Li, Yong Liu, Weiyi Dept. of Automation Kunming university of Science and Technology Kunming China Dept. of Computer Science and Engineering Yunnan university Kunming China

ISBN: (纸本)9780769533360

We propose a Bayesian higher-order probability logic reasoning approach with interval probability parameters to the problem of making inference from conditional knowledge, which combines weak conditional probability and conditional event algebra for approximate inferences. We define the bound-limited weak conditional interval probabilities, the corresponding probabilistic description, and the multiplication rules of weak conditional probabilities for joint probability distribution, and use higher-order conditional event to resolve a discrepancy between logic and probability. By extending normal measurable space with conditional event, we bring logic consistent with probability in denoting conditional knowledge, and then transform a higher-order conditional event to normal events and corresponding logical joint events via conditional event algebra. Based on multiplication rules, we compute the quantitative values of the events with interval parameters, and evaluate the value of higher-order conditional event and finish reasoning process. An illustrative example of application of our method shows how we make inferences from conditional knowledge. © 2008 IEEE.

关键词： Bayesian networks

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Feature matching based on geometric constraints in weakly calibrated stereo views of curved scenes

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Journal of Systems engineering and Electronics 2008年第3期19卷 562-570页

作者： Bian Houqin Su Jianbo Dept. of Automation Shanghai Jiaotong Univ. Shanghai 200240 P. R. China School of Computer & Information Engineering Shanghai Univ. of Electric Power Shanghai 200090 P. R. China

The identification of the correspondences of points of views is an important task. A new feature matching algorithm for weakly calibrated stereo images of curved scenes is proposed, based on mere geometric constraints. After initial correspondences are built via the epipolar constraint, many point-to-point image mappings called homographies are set up to predict the matching position for feature points. To refine the predictions and reject false correspondences, four schemes are proposed. Extensive experiments on simulated data as well as on real images of scenes of variant dept.s show that the proposed method is effective and robust.

关键词： feature correspondence,epipolar geometry fundamental matrix homography.

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Kernels on attributed pointsets with applications

Kernels on attributed pointsets with applications

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21st Annual Conference on Neural Information Processing Systems, NIPS 2007

作者： Parsana, Mehul Bhattacharya, Sourangshu Bhattacharyya, Chiranjib Ramakrishnan, K.R. Dept. of Computer Science and Automation Indian Institute of Science Bangalore - 560012 India Dept. of Electrical Engineering Indian Institute of Science Bangalore - 560012 India

ISBN: (纸本)160560352X

This paper introduces kernels on attributed pointsets, which are sets of vectors embedded in an euclidean space. The embedding gives the notion of neighborhood, which is used to define positive semidefinite kernels on pointsets. Two novel kernels on neighborhoods are proposed, one evaluating the attribute similarity and the other evaluating shape similarity. Shape similarity function is motivated from spectral graph matching techniques. The kernels are tested on three real life applications: face recognition, photo album tagging, and shot annotation in video sequences, with encouraging results.

关键词： Face recognition

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Crosscorrelation functions based nonlinear identification of piode laser welding process

Crosscorrelation functions based nonlinear identification of...

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2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008

作者： Zhang, Yu Liu, Yushehg Na, Xiaodong Zhang, YuMing Department of Automation College of Electrical Engineering Sichuan University Chengdu Sichuan 610065 China Center for Manufacturing Dept. of Electrical and Computer Engineering University of Kentucky Lexington KY 40506 United States

ISBN: (纸本)9781424417063

The diode laser welding process is a typical nonlinear system with disturbances and noises. To obtain unbiased estimates for unknown parameters, an identification method based on correlation functions is preferred. In this paper, a nonlinear identification method based on crosscorrelation functions is used to establish a nonlinear model, which is linear in parameters, for the diode laser welding process addressed. The model has been validated by the comparison of the computed step response with the actual step response. ©2008 IEEE.

关键词： Nonlinear systems

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Time varying analysis is model for cracks causality of concrete dams

Time varying analysis is model for cracks causality of concr...

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Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on engineering, Science, Construction, and Operations in Challenging Environments

作者： Su, Huaizhi Hu, Jiang Wen, Zhiping Wu, Zhongru Bin, Zhao College of Water Conservancy and Hydropower Engineering Hohai University Nanjing 210098 China Dept. of Computer Engineering Nanjing Institute of Technology Nanjing 210013 China Nanjing Automation Research Institute Nanjing 210003 China

ISBN: (纸本)9780784409886

The main factors of influencing the crack change of concrete dams can be reduced to three parts of water pressure, temperature and aging, but it is very difficult to get the effects of this three parts respectively. The nonlinear time-varying relationship between the crack change and its influencing factors is very strong. Using the unique ability of data analysis and learning of artificial neural network, and through the intercrossing of dam construction knowledge, then a good approach to solve these problems can be offered. In this paper, based on in-situ monitoring data of concrete dams, from the angle of machine learning, the time varying analysis model for causality of cracks of concrete dams is introduced, and the evolution law of load cracks with the change of time and load is analyzed and forecasted. The example indicates that the model can finely describe and forecast the time varying characteristic of cracks causality in concrete dams, and can give each factor's contribution to crack opening.

关键词： Cracks

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A survey of feature extraction approaches in analog circuit fault diagnosis

A survey of feature extraction approaches in analog circuit ...

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2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA 2008

作者： Hong, Liu Guangju, Chen Shuyan, Jiang Guoming, Song School of Automation Engineering University of Electronic Science and Technology of China Chengdu 610054 China School of Computer Science and Technology Changchun University of Science and Technology Changchun 130022 China Computer Engineering Dept. Chengdu Electromechanical College Chengdu Sichuan province 610031 China

ISBN: (纸本)9780769534909

Feature extraction is the key process in any pattern recognition issues. There is no exception in analog circuit fault diagnosis, because fault diagnosis is equivalent to pattern recognition issue in nature. In this paper, several feature extraction approaches in the field of analog circuits fault diagnosis are summed up. Newly appeared entropy-based, kernel-function-based, fractal-theorybased, rough-set-based feature extractions approaches are described besides the widely used wavelet analysis approach. The advantages and disadvantages of these approaches are discussed also. Potential solutions and developing trends of these feature extraction approaches are indicated. © 2008 IEEE.

关键词： Feature extraction

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