作者：梁锐;高金伍;摘要：Capital budgeting is concerned with maximizing the total net profit subject to budget constraints by selecting an appropriate combination of projects. This paper presents chance maximizing models for capital budgeting with fuzzy input data and multiple conflicting objectives. When the decision maker sets a prospec-tive profit level and wants to maximize the chances of the total profit achieving the prospective profit level,a fuzzy dependent-chance programming model,a fuzzy multi-objective dependent-chance programming model,and a fuzzy goal dependent-chance programming model are used to formulate the fuzzy capital budgeting problem. A fuzzy simulation based genetic algorithm is used to solve these models. Numerical examples are provided to illustrate the effectiveness of the simulation-based genetic algorithm and the po-tential applications of these models.

作者：丁文锐;佟雨兵;张其善;杨东凯;摘要：An image and video quality assessment method was developed using neural network and support vector machines (SVM) with the peak signal to noise ratio (PSNR) and the structure similarity indexes used to describe image quality. The neural network was used to obtain the mapping functions between the objec-tive quality assessment indexes and subjective quality assessment. The SVM was used to classify the im-ages into different types which were accessed using different mapping functions. Video quality was as-sessed based on the quality of each frame in the video sequence with various weights to describe motion and scene changes in the video. The number of isolated points in the correlations of the image and video subjective and objective quality assessments was reduced by this method. Simulation results show that the method accurately accesses image quality. The monotonicity of the method for images is 6.94% higher than with the PSNR method,and the root mean square error is at least 35.90% higher than with the PSNR.

作者：王俊艳;赵瑞清;唐万生;摘要：This paper characterizes quality,budget,and demand as fuzzy variables in a fuzzy vendor selec-tion expected value model and a fuzzy vendor selection chance-constrained programming model,to maxi-mize the total quality level. The two models have distinct advantages over existing methods for selecting vendors in fuzzy environments. A genetic algorithm based on fuzzy simulations is designed to solve these two models. Numerical examples show the effectiveness of the algorithm.

作者：李洪波;孙增圻;陈霸东;刘华平;摘要：The use of communication networks in control loops has gained increasing attention in recent years due to its advantages and flexible applications. The network quality-of-service (QoS) in those so-called networked control systems always fluctuates due to changes of the traffic load and available network resources. This paper presents an intelligent scheduling controller design approach for a class of NCSs to handle network QoS variations. The sampling period and control parameters in the controller are simultane-ously scheduled to compensate for the network QoS variations. The estimation of distribution algorithm is used to optimize the sampling period and control parameters for better performance. Compared with exist-ing networked control methods,the controller has better ability to compensate for the network QoS varia-tions and to balance network loads. Simulation results show that the plant setting time with the intelligent scheduling controller is reduced by about 64.0% for the medium network load and 49.1% for high network load and demonstrate the effectiveness of the proposed approaches.

作者：杨红英;叶昊;王桂增;摘要：This paper presents a method for detecting weak fault signals in chaotic systems based on the chaotic dynamics reconstruction technique and the fuzzy neural system (FNS). The Grassberger-Procaccia algorithm and least squares regression were used to calculate the correlation dimension for the model order estimate. Based on the model order,an appropriately structured FNS model was designed to predict system faults. Through reasonable analysis of predicted errors,the disturbed signal can be extracted efficiently and correctly from the chaotic background. Satisfactory results were obtained by using several kinds of simula-tive faults which were extracted from the practical chaotic fault systems. Experimental results demonstrate that the proposed approach has good prediction accuracy and can deal with data having a ?40 dB signal to noise ratio (SNR). The low SNR requirement makes the approach a powerful tool for early fault detection.

作者：杨飚;张曾科;孙政顺;摘要：Nonlinear least trimmed squares (NLTS) estimator is a very important kind of nonlinear robust es-timator,which is widely used for recovering an ideal high-quality signal from contaminated data. However,the NLTS estimator has not been widely used because it is hard to compute. This paper develops an algo-rithm to compute the NLTS estimator based on a random differential evolution (DE) strategy. The strategy which uses random DE schemes and control variables improves the DE performance. The simulation results demonstrate that the algorithm gives better performance and is more convenient than existing computing algorithms for the NLTS estimator. The algorithm makes the NLTS estimator easy to apply in practice,even for large data sets,e.g. in a data mining context.

摘要：Large-scale public buildings have high energy density, which on average consume 5 to 15 times more electricity than residential buildings.

作者：刘向阳;彭应宁;王秀坛;摘要：Data selection-based summation fusion (DSSF) was developed to overcome the shortcomings of previously developed likelihood ratio tests based on channel statistics (LRT-CS) for the problem of fusing censored binary decisions transmitted over Nakagami fading channels in a wireless sensor network (WSN). The LRT-CS relies on detection probabilities of the local sensors,while the detection probabilities are a pri-ori unknown for uncooperative targets. Also,for Nakagami fading channels,the LRT-CS involves an infinite series,which is cumbersome for real-time application. In contrast,the DSSF only involves data comparisons and additions and does not require the detection probabilities of local sensors. Furthermore,the perform-ance of DSSF is only slightly degraded in comparison with the LRT-CS when the detection probabilities of local sensors are a priori unknown. Therefore,the DSSF should be used in a WSN with limited resources.

摘要：A project named "A New Generation of Energy Management with Three Dimensional Coordination" has recently passed technical appraisal from the Ministry of Education.

作者：杨孟辉;杨维康;王小鸽;廖建新;陈俊亮;摘要：The hardware and software architectures of core service platforms for next-generation networks were analyzed to compute the minimum cost hardware configuration of a core service platform. This method gives a closed form expression for the optimized hardware cost configuration based on the service require-ments,the processing features of the computers running the core service platform software,and the proc-essing capabilities of the common object request broker architecture middleware. Three simulation scenar-ios were used to evaluate the model. The input includes the number of servers for the protocol mapping (PM),Parlay gateway (PG),application sever (AS),and communication handling (CH) functions. The simu-lation results show that the mean delay meets requirements. When the number of servers for PM,PG,AS,and CH functions were not properly selected,the mean delay was excessive. Simulation results show that the model is valid and can be used to optimize investments in core service platforms.