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2015 XVIII International Conference on Soft Computing and Measurements (SCM)最新文献

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Portfolio selection under uncertainty using regret-analysis 基于后悔分析的不确定性投资组合选择
Pub Date : 2015-05-19 DOI: 10.1109/SCM.2015.7190476
V. Gisin, L. F. Khamidullina
Fuzzy linear programming in portfolio selection is considered. Much attention is given to minimax regret criterion which allows minimizing the worst regret that may be undertaken by the decision maker. Regret-analysis is applied to get an optimal portfolio of branch indices.
研究了投资组合选择中的模糊线性规划问题。极大极小后悔准则是一个非常重要的准则,它允许最小化决策者可能承担的最坏的后悔。应用后悔分析方法得到了分支指标的最优组合。
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引用次数: 1
Mobilized economy fuzzy model 动员经济模糊模型
Pub Date : 2015-05-19 DOI: 10.1109/SCM.2015.7190479
Z. Abdoulaeva, A. Nedosekin
The paper proposes an approach to the creation of fuzzy-logic model to estimate the resilience of mobilized economy of a country or regions included, based on 4×3 matrix model with fuzzy links.
本文提出了一种基于4×3模糊链接矩阵模型的模糊逻辑模型的建立方法,以估计一个国家或地区的动员经济弹性。
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引用次数: 3
Development of decision-making technique for assessing knowledge considering probabilistic updating algorithm of membership functions 考虑隶属函数概率更新算法的知识评估决策技术的发展
Pub Date : 2015-05-19 DOI: 10.1109/SCM.2015.7190432
E. Sinyavskaya, E. Shestova, E. A. Makedonov
This paper considers the decision-making technique through the analysis of testing knowledge results under incompleteness of initial information. This technique is notable for determination of testing system parameters as linguistic variables and the probabilistic updating algorithm of membership functions, as well as the decision-making model on the base of the classification of fuzzy situations and the composition model of fuzzy inference rules, that contribute to the well-known statistical models of testing results estimates.
本文通过对初始信息不完备情况下测试知识结果的分析来考虑决策技术。该技术在测试系统参数作为语言变量的确定和隶属函数的概率更新算法,以及基于模糊情况分类的决策模型和模糊推理规则的组成模型等方面取得了显著成就,从而形成了著名的测试结果估计统计模型。
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引用次数: 3
Decision support system based on 4-valued logic with multi-interpretations 基于多解释四值逻辑的决策支持系统
Pub Date : 2015-05-19 DOI: 10.1109/SCM.2015.7190455
A. Kazimirov, V. Panteleyev, L. Riabets, S. Vinokurov
This paper concerns 4-valued logic as a basis for decision support system. We extend classic logic containing 2 values T, F with additional values C (contradiction) and U (uncertainty). This values are introduced for processing contradictory and incomplete information. We consider a generalized interpretation of arguments which determines predicate values for subsets. As a demonstration we consider the application of 4-valued logic for medical prescriptions.
本文研究了作为决策支持系统基础的4值逻辑。我们扩展了经典逻辑,包含2个值T, F和附加值C(矛盾)和U(不确定性)。引入这些值是为了处理矛盾和不完整的信息。我们考虑了参数的广义解释,它决定了子集的谓词值。作为一个示范,我们考虑4值逻辑在医学处方中的应用。
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引用次数: 3
Control system for a computer vision equipped robot 一种配备计算机视觉的机器人控制系统
Pub Date : 2015-05-19 DOI: 10.1109/SCM.2015.7190421
M. M. Kopichev, V. V. Putov, A. Putov, K. Ignatiev
In this paper the phases of the mechanical design and fuzzy logic based control system implementation for the autonomous robot with computer vision system are considered. The robot was designed on the department of automatic control systems in the Saint Petersburg Electrotechnical University “LETI” in relation to the study of the autonomous robot's control systems.
本文研究了具有计算机视觉系统的自主机器人的机械设计阶段和基于模糊逻辑的控制系统实现阶段。该机器人是在圣彼得堡电工大学“LETI”自动控制系统系设计的,与自主机器人控制系统的研究有关。
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引用次数: 1
Neural network approach to forecast the state of the Internet of Things elements 用神经网络方法预测物联网要素的状态
Pub Date : 2015-05-19 DOI: 10.1109/SCM.2015.7190434
Igor Kotenko, I. Saenko, Fadey Skorik, S. Bushuev
The paper presents the method to forecast the states of elements of the Internet of Things based on using an artificial neural network. The offered architecture of the neural network is a combination of a multilayered perceptron and a probabilistic neural network. For this reason, it provides high efficiency of decision-making. Results of an experimental assessment of the offered neural network on the accuracy of forecasting the states of elements of the Internet of Things are discussed.
提出了一种基于人工神经网络的物联网元素状态预测方法。所提出的神经网络结构是多层感知器和概率神经网络的结合。因此,它提供了很高的决策效率。讨论了所提供的神经网络在预测物联网元素状态准确性方面的实验评估结果。
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引用次数: 34
Using of fuzzy set theory when designing technical systems 模糊集理论在技术系统设计中的应用
Pub Date : 2015-05-19 DOI: 10.1109/SCM.2015.7190453
L. P. Kozlova, O. Kozlova
Discusses an approach to the design of technical systems using the theory of fuzzy sets.
讨论了用模糊集理论进行技术系统设计的一种方法。
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引用次数: 7
Neural network application to diagnostics of pneumatic servo-motor actuated control valve 神经网络在气动伺服马达控制阀诊断中的应用
Pub Date : 2015-05-19 DOI: 10.1109/SCM.2015.7190406
Yurii A. Korablev, N. A. Logutova, M. Shestopalov
This paper presents an approach for development of a diagnostic system on the base of ANFIS networks for creation of reference models of pneumatic servo-motor actuated control valve in the mode without faults. Detection, localization and identification of faults is carried out on the basis of the analysis of extreme values of residuals. The idea of this approach is illustrated on a practical example of the diagnostic task solution for benchmark model of pneumatic servo-motor actuated control valve developed by the European university project DAMADIC'S in MATLAB/SIMULINK.
本文提出了一种基于ANFIS网络的无故障状态下气动伺服马达控制阀参考模型建立诊断系统的开发方法。在残差极值分析的基础上进行故障的检测、定位和识别。以欧洲大学DAMADIC项目在MATLAB/SIMULINK中开发的气动伺服电机控制阀基准模型诊断任务解决方案为例,说明了该方法的思想。
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引用次数: 4
Use of Internet technologies for work organisation with projection system 运用互联网技术进行投影系统的工作组织
Pub Date : 2015-05-19 DOI: 10.1109/SCM.2015.7190448
A. I. Laristov, Yu. T. Lyachek, M.F.A. Obadi
A choice of basic system of design of the printed-circuit boards (PCB) is carried out, the main functions of system of the topological tracer of "TopoR" are revealed. Features of the WEB organization of the focused version of SAPR of topological design of software and realization of this system on the basis of cloudy INTERNET technologies are defined.
对印刷电路板(PCB)设计的基本系统进行了选择,揭示了TopoR拓扑示踪系统的主要功能。定义了重点版本SAPR的WEB组织特点、软件的拓扑设计和基于云INTERNET技术的系统实现。
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引用次数: 1
Wavelet-processing usage over the ultrasonic defectoscope signal at high-rise reverberation and noise interference 小波处理在高层混响和噪声干扰下超声探伤仪信号处理中的应用
Pub Date : 2015-05-19 DOI: 10.1109/SCM.2015.7190467
V. Konovalova, A. Perkova, E. S. Suloyeva
The paper describes the way to get a useful component of the ultrasonic defectoscope signal at high-rise reverberation and noise interference. The useful component is got with the thresholding of detail factors of a wavelet-decomposition. Probability of the 1st and 2nd type mistake is examined.
本文介绍了在高层混响和噪声干扰下,超声探伤器信号有用分量的提取方法。对小波分解的细节因子进行阈值处理,得到有用的分量。检查第一类和第二类错误的概率。
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引用次数: 0
期刊
2015 XVIII International Conference on Soft Computing and Measurements (SCM)
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