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Generalized likelihood ratio detector for forward scattering detection in uncertain shallow-water environments 认领 引用
1
作者 Jiahui Luo Chao Sun +1 位作者 Mingyang Li Shaodong Zhang 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第5期490-503,共14页
Forward scattering detection in shallow-water environments presents many challenges,particularly the issues of environmental uncertainties and direct blast,which is an intense sound wave that propagates directly from ... Forward scattering detection in shallow-water environments presents many challenges,particularly the issues of environmental uncertainties and direct blast,which is an intense sound wave that propagates directly from the source to the receiver without interaction with the target.In this paper,we account for environmental uncertainties and extend the generalized likelihood ratio detector(GLRD)for forward scattering detection in a known environment to uncertain environments.In a suitable bistatic sonar configuration where the source is positioned on the broadside of a large aperture horizontal linear array(HLA),the GLRD exhibits good resistance to direct blast.Moreover,the GLRD demonstrates a certain degree of robustness against environmental uncertainties,particularly when the sampling uncertainty sets of the direct blast/signal wavefront are large enough—including both the real direct blast wavefront and the real signal wavefront.Despite facing the challenge of direct blast in forward scattering detection,the GLRD still performs well in this scenario and demonstrates its effectiveness as a method for forward scattering detection in uncertain shallow-water environments. 展开更多
关键词 forward scattering detection uncertain environments generalized likelihood ratio detector (GLRD) horizontal linear array (HLA)
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A Joint Optimization Model for Device Selection and Power Allocation under Dynamic Uncertain Environments 认领 引用
2
作者 Bohui Li Bin Wang +2 位作者 Linjie Wu Xingjuan Cai Maoqing Zhang 《Computers, Materials & Continua》 SCIE EI 2026年第2期1059-1086,共28页
Federated Learning(FL)provides an effective framework for efficient processing in vehicular edge computing.However,the dynamic and uncertain communication environment,along with the performance variations of vehicular... Federated Learning(FL)provides an effective framework for efficient processing in vehicular edge computing.However,the dynamic and uncertain communication environment,along with the performance variations of vehicular devices,affect the distribution and uploading processes of model parameters.In FL-assisted Internet of Vehicles(IoV)scenarios,challenges such as data heterogeneity,limited device resources,and unstable communication environments become increasingly prominent.These issues necessitate intelligent vehicle selection schemes to enhance training efficiency.Given this context,we propose a new scenario involving FL-assisted IoV systems under dynamic and uncertain communication conditions,and develop a dynamic interval multi-objective optimization algorithm to jointly optimize various factors including training experiments,system energy consumption,and bandwidth utilization to meet multi-criteria resource optimization requirements.For the problem at hand,we design a dynamic interval multi-objective optimization algorithm based on interval overlap detection.Simulation results demonstrate that our method outperforms other solutions in terms of accuracy,training cost,and server utilization.It effectively enhances training efficiency under wireless channel environments while rationally utilizing bandwidth resources,thus possessing significant scientific value and application potential in the field of IoV. 展开更多
关键词 Internet of vehicles edge computing dynamic uncertain environments device selection power allocation dynamic interval multi-objective algorithm
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Improved simulated annealing algorithm for UAV path planning with uncertain flight time 认领 引用
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作者 LI Xiaoduo LUO He +1 位作者 WANG Guoqiang YIN Youlong 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2026年第1期272-286,共15页
Efficient multiple unmanned aerial vehicles(UAVs)path planning is crucial for improving mission completion efficiency in UAV operations.However,during the actual flight of UAVs,the flight time between nodes is always ... Efficient multiple unmanned aerial vehicles(UAVs)path planning is crucial for improving mission completion efficiency in UAV operations.However,during the actual flight of UAVs,the flight time between nodes is always influenced by external factors,making the original path planning solution ineffective.In this paper,the multi-depot multi-UAV path planning problem with uncertain flight time is modeled as a robust optimization model with a budget uncertainty set.Then,the robust optimization model is transformed into a mixed integer linear programming model by the strong duality theorem,which makes the problem easy to solve.To effectively solve large-scale instances,a simulated annealing algorithm with a robust feasibility check(SA-RFC)is developed.The numerical experiment shows that the SA-RFC can find high-quality solutions within a few seconds.Moreover,the effect of the task location distribution,depot counts,and variations in robustness parameters on the robust optimization solution is analyzed by using Monte Carlo experiments.The results demonstrate that the proposed robust model can effectively reduce the risk of the UAV failing to return to the depot without significantly compromising the profit. 展开更多
关键词 unmanned aerial vehicle(UAV)path planning uncertain flight time robust optimization simulated annealing
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Prescribed-Time Formation Control for Multi-Agent Systems With Uncertain Nonlinear Dynamics and Non-Vanishing Random Disturbances 认领 引用
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作者 Jie Su Yongduan Song 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第3期586-596,共11页
This paper investigates the problem of prescribedtime formation control for multi-agent systems with directed communication topology,uncertain nonlinear dynamics,and nonvanishing random disturbances.To drive the forma... This paper investigates the problem of prescribedtime formation control for multi-agent systems with directed communication topology,uncertain nonlinear dynamics,and nonvanishing random disturbances.To drive the formation error to zero within a prescribed time,a novel prescribed-time control lemma is developed.A distributed observer is designed to allow each follower to accurately estimate the leader's states within the prescribed time.Building on this,an observer-based prescribedtime formation control algorithm is proposed.The algorithm ensures that a disordered group of autonomous agents achieves the desired formation with zero error within the prescribed time,despite the presence of uncertain nonlinear dynamics and nonvanishing random disturbances.The prescribed time is arbitrarily predetermined a priori and independent of the agents'initial configurations and any other control parameters.Mathematically,the stability of the proposed control scheme is rigorously proven,where all observer and closed-loop system signals are bounded.Numerical simulations confirm the effectiveness of the proposed formation scheme. 展开更多
关键词 Directed communication topology multi-agent system formation non-vanishing random disturbances prescribed-time control uncertain nonlinear dynamics
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Machine Learning Based Uncertain Free Vibration Analysis of Hybrid Composite Plates 认领 引用
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作者 Bindi Saurabh Thakkar Pradeep Kumar Karsh 《Computers, Materials & Continua》 SCIE EI 2026年第2期333-354,共22页
This study investigates the uncertain dynamic characterization of hybrid composite plates by employing advanced machine-assisted finite element methodologies.Hybrid composites,widely used in aerospace,automotive,and s... This study investigates the uncertain dynamic characterization of hybrid composite plates by employing advanced machine-assisted finite element methodologies.Hybrid composites,widely used in aerospace,automotive,and structural applications,often face variability in material properties,geometric configurations,and manufacturing processes,leading to uncertainty in their dynamic response.To address this,three surrogate-based machine learning approaches like radial basis function(RBF),multivariate adaptive regression splines(MARS),and polynomial neural networks(PNN)are integrated with a finite element framework to efficiently capture the stochastic behavior of these plates.The research focuses on predicting the first three natural frequencies under material uncertainties,which are critical to ensuring structural reliability.Monte Carlo simulation(MCS)is used as a benchmark for generating probabilistic datasets,including mean values,standard deviations,and probability density functions.The surrogate models are then trained and validated against these datasets,enabling accurate representation of uncertainty with substantially fewer samples compared to conventionalMCS.Among the methods studied,the RBFmodel demonstrates superior performance,closely approximating MCS results with a reduced sample size,thereby achieving significant computational savings.The proposed framework not only reduces computational time and costs but also maintains high predictive accuracy,making it well-suited for complex engineering systems.Beyond free vibration analysis,the methodology can be extended to more sophisticated scenarios,such as forced vibration,damping effects,and nonlinear structural responses.Overall,this work presents a computationally efficient and robust approach for surrogate-based uncertainty quantification,advancing the analysis and design of hybrid composite structures under uncertainty. 展开更多
关键词 Hybrid composite surrogate model RBF MARS PNN uncertain free vibration analysis machine learning
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Event-Triggered-Based Adaptive Practical Fixed-Time Tracking Control for Uncertain Nonlinear Systems With Unmeasurable States 认领 引用
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作者 Lei Liang Xia Huang Zhen Wang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第7期1721-1730,共10页
In this paper,the problem of adaptive event-triggered(ET)fixed-time tracking control(FTTC)for a class of uncertain nonlinear systems(NSs)with partially unmeasurable states is investigated.An observer and a set of radi... In this paper,the problem of adaptive event-triggered(ET)fixed-time tracking control(FTTC)for a class of uncertain nonlinear systems(NSs)with partially unmeasurable states is investigated.An observer and a set of radial basis function neural networks(RBFNNs)are introduced to reconstruct the unmeasurable states and to approximate the unknown nonlinear functions,respectively.Moreover,in order to reduce the communication resource consumption,an ET mechanism with the relative threshold is adopted.The designed ET controller can ensure that the tracking error converges to a small neighborhood of the origin,all the signals of the closed-loop system are uniformly ultimately bounded(UUB),the settling time depends solely on the design parameters,and the Zeno behavior is successfully avoided.A practical example is given to verify the feasibility of the proposed method. 展开更多
关键词 Event-triggered(ET)control output feedback practical fixed-time stability uncertain nonlinear systems(NSs) unmeasurable states
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Delay bounded routing with the maximum belief degree for dynamic uncertain networks 认领 引用
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作者 MA Ji KANG Rui +3 位作者 LI Ruiying ZHANG Qingyuan LIU Liang WANG Xuewang 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2025年第1期127-138,共12页
Delay aware routing is now widely used to provide efficient network transmission. However, for newly developing or developed mobile communication networks(MCN), only limited delay data can be obtained. In such a netwo... Delay aware routing is now widely used to provide efficient network transmission. However, for newly developing or developed mobile communication networks(MCN), only limited delay data can be obtained. In such a network, the delay is with epistemic uncertainty, which makes the traditional routing scheme based on deterministic theory or probability theory not applicable. Motivated by this problem, the MCN with epistemic uncertainty is first summarized as a dynamic uncertain network based on uncertainty theory, which is widely applied to model epistemic uncertainties. Then by modeling the uncertain end-toend delay, a new delay bounded routing scheme is proposed to find the path with the maximum belief degree that satisfies the delay threshold for the dynamic uncertain network. Finally, a lowEarth-orbit satellite communication network(LEO-SCN) is used as a case to verify the effectiveness of our routing scheme. It is first modeled as a dynamic uncertain network, and then the delay bounded paths with the maximum belief degree are computed and compared under different delay thresholds. 展开更多
关键词 dynamic uncertain network uncertainty theory epistemic uncertainty delay bounded routing maximum belief degree
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Study on the Safety Margin of the Hull Beams for the Ore Carrier based on the Uncertain Loads Combination Method 认领 引用
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作者 SHI Wei DING Shi-feng ZHAN Zhi-hu 《船舶力学》 EI CSCD 北大核心 2026年第6期984-994,共11页
The maritime environment and loading conditions encountered by large ore carriers are highly complex.It is a problem worth studying to scientifically describe the uncertain load of ore carriers and evaluate the safety... The maritime environment and loading conditions encountered by large ore carriers are highly complex.It is a problem worth studying to scientifically describe the uncertain load of ore carriers and evaluate the safety margin of hull beams quantitatively.This paper investigated the stochastic characteristics of environmental loads and ship internal loads and explored methods for combining multiple loads and their nature mechanics.This research also revealed the still-water bending moment characteristics under typical loading conditions.WALCS hydrodynamic analysis software was used to calculate the wave load response function of the target ship.The extreme values of the wave bending moments were obtained using the extreme value type I(Gumbel type I)long-term forecasting method.The statistical characteristics of the wavebending moments were analyzed.Based on the uncertainty load combination method,the hull girder safety margin of the target ship was obtained as 1.10-1.20.The rationality of the load system specified in the CCS rules for ore carriers is further validated.The results show that the method can be applied to the formulation of relevant ore ship rules by CCS and effectively reveal the safety margins behind the rules.Understanding of the GBS-type ship rule has been enhanced.This research provides an important reference for the development of large ore carriers. 展开更多
关键词 uncertain load safety margin still-water bending moment wave bending moment ore carrier
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Cooperation in an Uncertain World:Why the Hungarian-Chinese Relationship Matters 认领 引用
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作者 LAJOS OLÁH 《China Today》 2026年第4期20-21,共2页
In an age of global challenges,there are numerous issues whose solutions require closer international cooperation.THE world is passing through another era of profound uncertainty.Many had assumed that the age of globa... In an age of global challenges,there are numerous issues whose solutions require closer international cooperation.THE world is passing through another era of profound uncertainty.Many had assumed that the age of global crises,wars,and geopolitical tensions was behind us,and that humanity had moved beyond a time when armed conflicts in some parts of the world could dictate the rhythms of daily life.The events of recent years,however,have made it clear that history,in the sense of hegemonism and largescale confrontation,has not been consigned to the past. 展开更多
关键词 global crises wars global challenges international cooperation uncertain world geopolitical tensions Hungarian Chinese relationship armed conflicts
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Certainty in an Uncertain World:Two Sessions offer a blueprint for sustainable economic development, adding certainty to an uncertain global economic landscape 认领 引用
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作者 ROBERT MASEKA 《ChinAfrica》 2026年第4期24-25,共2页
The annual meetings of the 14th National People’s Congress(NPC)and the 14th National Committee of the Chinese People’s Political Consultative Conference(CPPCC),known as the Two Sessions,were held in Beijing in March... The annual meetings of the 14th National People’s Congress(NPC)and the 14th National Committee of the Chinese People’s Political Consultative Conference(CPPCC),known as the Two Sessions,were held in Beijing in March.Thousands of NPC deputies and CPPCC National Committee members from different regions and walks of life discussed national policies,economic plans and developmental goals. 展开更多
关键词 global economic landscape two sessions sustainable economic development national committee chinese people s political consultative conference certainty uncertain world national people s congress
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Joint jammer selection and power optimization in covert communications against a warden with uncertain locations 认领 引用 被引量：2
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作者 Zhijun Han Yiqing Zhou +3 位作者 Yu Zhang Tong-Xing Zheng Ling Liu Jinglin Shi 《Digital Communications and Networks》 SCIE EI CSCD 2025年第4期1113-1123,共11页
In covert communications,joint jammer selection and power optimization are important to improve performance.However,existing schemes usually assume a warden with a known location and perfect Channel State Information(... In covert communications,joint jammer selection and power optimization are important to improve performance.However,existing schemes usually assume a warden with a known location and perfect Channel State Information(CSI),which is difficult to achieve in practice.To be more practical,it is important to investigate covert communications against a warden with uncertain locations and imperfect CSI,which makes it difficult for legitimate transceivers to estimate the detection probability of the warden.First,the uncertainty caused by the unknown warden location must be removed,and the Optimal Detection Position(OPTDP)of the warden is derived which can provide the best detection performance(i.e.,the worst case for a covert communication).Then,to further avoid the impractical assumption of perfect CSI,the covert throughput is maximized using only the channel distribution information.Given this OPTDP based worst case for covert communications,the jammer selection,the jamming power,the transmission power,and the transmission rate are jointly optimized to maximize the covert throughput(OPTDP-JP).To solve this coupling problem,a Heuristic algorithm based on Maximum Distance Ratio(H-MAXDR)is proposed to provide a sub-optimal solution.First,according to the analysis of the covert throughput,the node with the maximum distance ratio(i.e.,the ratio of the distances from the jammer to the receiver and that to the warden)is selected as the friendly jammer(MAXDR).Then,the optimal transmission and jamming power can be derived,followed by the optimal transmission rate obtained via the bisection method.In numerical and simulation results,it is shown that although the location of the warden is unknown,by assuming the OPTDP of the warden,the proposed OPTDP-JP can always satisfy the covertness constraint.In addition,with an uncertain warden and imperfect CSI,the covert throughput provided by OPTDP-JP is 80%higher than the existing schemes when the covertness constraint is 0.9,showing the effectiveness of OPTDP-JP. 展开更多
关键词 Covert communications Uncertain warden Jammer selection Power optimization Throughput maximization
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Optimal condition analysis of target localization using multi-agents with uncertain positions 认领 引用
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作者 Yi Hou Ning Hao +2 位作者 Fenghua He Chen Xie Yu Yao 《Control Theory and Technology》 EI CSCD 2025年第1期131-144,共14页
This paper delves into the problem of optimal placement conditions for a group of agents collaboratively localizing a target using range-only or bearing-only measurements.The challenge in this study stems from the unc... This paper delves into the problem of optimal placement conditions for a group of agents collaboratively localizing a target using range-only or bearing-only measurements.The challenge in this study stems from the uncertainty associated with the positions of the agents,which may experience drift or disturbances during the target localization process.Initially,we derive the Cramer-Rao lower bound(CRLB)of the target position as the primary analytical metric.Subsequently,we establish the necessary and sufficient conditions for the optimal placement of agents.Based on these conditions,we analyze the maximal allowable agent position error for an expected mean squared error(MSE),providing valuable guidance for the selection of agent positioning sensors.The analytical findings are further validated through simulation experiments. 展开更多
关键词 Cramer-Rao lower bound(CRLB) Target localization Uncertain sensor position Multi-agent systems
Multi-Phase Degradation Modeling Based on Uncertain Random Process for Remaining Useful Life Prediction Under Triple Uncertainties 认领 引用
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作者 Xuerui Cao Kaixiang Peng Ruihua Jiao 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2025年第6期1129-1143,共15页
Due to abrupt changes in the intrinsic degradation mechanism or shock from external environmental pressure,degradations of some equipment are characterized by multi-phase and jumps.Meanwhile,equipment is subject to in... Due to abrupt changes in the intrinsic degradation mechanism or shock from external environmental pressure,degradations of some equipment are characterized by multi-phase and jumps.Meanwhile,equipment is subject to inherent fluctuations,limited data and imperfect measurements resulting in aleatory,epistemic and measurement uncertainties of the degradation process.This paper proposes a degradation model and remaining useful life(RUL)prediction method under triple uncertainties for a category of complex equipment with multi-phase degradation and jumps.First,a multi-phase degradation model with random jumps and measurement errors is constructed based on uncertain random processes.Afterward,the analytic expression of RUL prediction considering the heterogeneity is derived by modeling the uncertainty of degradation states at change points under the concept of first hitting time.A stochastic uncertain approach is utilized for the proposed multi-phase degradation model to identify model parameters based on historical data.Furthermore,the implied degradation features are adaptively updated in online stage using similarity-based weighted stochastic uncertain maximum likelihood estimation and Kalman filtering.Finally,the effectiveness of the method is verified by simulation example and practical case. 展开更多
关键词 Measurement errors multi-phase degradation model random jumps remaining useful life(RUL)prediction uncertain random process
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A robust MP-ADRC-based strategy for uncertain minimum phase systems 认领 引用
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作者 Josiel A.Gouvêa Alessandro R.L.Zachi +1 位作者 Lúcio M.Fernandes Tiago Roux Oliveira 《Control Theory and Technology》 EI CSCD 2025年第3期345-363,共19页
This paper proposes an extension of the Modified-Plant ADRC(MP-ADRC)strategy to broaden its application to minimum phase dynamical systems.The main features of the MP-ADRC method are the inclusion of a constant gain i... This paper proposes an extension of the Modified-Plant ADRC(MP-ADRC)strategy to broaden its application to minimum phase dynamical systems.The main features of the MP-ADRC method are the inclusion of a constant gain in series with the plant output error and a linear filter in parallel with the overall error system.These structural changes do not influence the input/output dynamics of the original plant,but are intentionally introduced to modify the dynamics to be estimated by the extended state observer(ESO)and,thus,promote an increase in the robustness of the method.Some advantages can also be attributed to the proposed methodology,such as(i)the design procedures of both the controller and the ESO only require knowledge of the sign(±)of the plant input channel coefficient(or control gain);(ii)the plant control input is generated directly by a single ESO state variable.Despite the advantages and the characteristics of MP-ADRC mentioned earlier,closed-loop stability cannot be guaranteed when it is applied to dynamical systems that have finite zeros.To overcome this difficulty,this work introduces an extension in the MP-ADRC method.It basically consists of rewriting the minimum phase plant dynamics according to its relative order,and then follows with the design of the ESO by conveniently increasing the number of ESO state variables.The simulation results are also presented to illustrate the application of the proposed method. 展开更多
关键词 Modified-plant ADRC Uncertain systems Minimum phase plants Robust control Extended state observer
Multi-stage robust optimization for a class of UAV trajectory planning problems with uncertain nonlinear dynamics 认领 引用
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作者 Zixin FENG Wenchao XUE +1 位作者 Ran ZHANG Huifeng LI 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2025年第11期228-234,共7页
Trajectory planning under uncertain dynamics is critical for safety-critical systems like Unmanned Aerial Vehicles(UAVs),where uncertainties in aerodynamic force and control surface failure can lead to mission failure... Trajectory planning under uncertain dynamics is critical for safety-critical systems like Unmanned Aerial Vehicles(UAVs),where uncertainties in aerodynamic force and control surface failure can lead to mission failure.This paper proposes a Multi-stage Robust Optimization(MRO)framework to address nonlinear trajectory planning with bounded but unknown parameters.By integrating first-order sensitivity analysis and sequential optimization,the proposed method ensures robustness against worst-case parameter deviations while maintaining high terminal accuracy.Unlike existing approaches,this paper explicitly quantifies uncertainty propagation through sensitivity bounds and divides long-term planning into sub-stages to reduce cumulative errors.Simulations on a UAV model with uncertainties in aerodynamic coefficients,wind fields and coefficients of control inputs demonstrate that MRO achieves high terminal state accuracy and strong robustness. 展开更多
关键词 Robust optimization UAV trajectory planning Optimal control Uncertain parameters Sensitivity analysis
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A Novel Dependent Aggregation Approach for Intuitionistic Uncertain Linguistic Multiple Attribute Group Decision Making 认领 引用
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作者 PENG Bo GU Fengjuan 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2020年第6期510-520,共11页
The multiple attribute group decision making problem in which the input arguments take the form of intuitionistic uncertain linguistic information is studied in the paper.Based on the operational principles of intuiti... The multiple attribute group decision making problem in which the input arguments take the form of intuitionistic uncertain linguistic information is studied in the paper.Based on the operational principles of intuitionistic uncertain linguistic variables and the concept of the expected value and accuracy function,some new dependent aggregation operators with intuitionistic uncertain linguistic information including the dependent intuitionistic uncertain linguistic ordered weighted average(DIULOWA)operator,the dependent intuitionistic uncertain linguistic ordered weighted geometric(DIULOWG)operator,the generalized dependent intuitionistic uncertain linguistic ordered weighted aggregation(GDIULOWA)operator and so on are developed,in which the associated weights only depend on the aggregated arguments.Also,we study some desirable properties of the aggregation operators.Moreover,the approach of multiple attribute group decision making with intuitionistic uncertain linguistic information based on the developed operators is proposed.Finally,an illustrative numerical example is given to show the practicality and effectiveness of the proposed approaches. 展开更多
关键词 group decision making intuitionistic uncertain linguistic variable dependent intuitionistic uncertain linguistic ordered weighted average operator dependent intuitionistic uncertain linguistic ordered weighted geometric operator
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HOW CHINA IS NAVIGATING AN UNCERTAIN WORLD 认领 引用
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作者 David Morris 《China Report ASEAN》 2025年第4期64-64,共1页
2025 has,so far,been a year of surprises.The United States under its reelected president,Donald Trump,has not only ramped up the U.S.trade war with China that he began in his first term,but has also unleashed a verbal... 2025 has,so far,been a year of surprises.The United States under its reelected president,Donald Trump,has not only ramped up the U.S.trade war with China that he began in his first term,but has also unleashed a verbal assault and a barrage of tariffs against its neighbors,Canada and Mexico.It appears the age of globalization and rules-based free trade is over,at least as far as the giant U.S.economy is concerned. 展开更多
关键词 trade war globalization free trade verbal assault uncertain world
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Approach for uncertain multi-objective programming problems with correlated objective functions under CEV criterion 认领 引用 被引量：2
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作者 MENG Xiangfei WANG Ying +2 位作者 LI Chao WANG Xiaoyang LYU Maolong 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2018年第6期1197-1208,共12页
An uncertain multi-objective programming problem is a special type of mathematical multi-objective programming involving uncertain variables. This type of problem is important because there are several uncertain varia... An uncertain multi-objective programming problem is a special type of mathematical multi-objective programming involving uncertain variables. This type of problem is important because there are several uncertain variables in real-world problems.Therefore, research on the uncertain multi-objective programming problem is highly relevant, particularly those problems whose objective functions are correlated. In this paper, an approach that solves an uncertain multi-objective programming problem under the expected-variance value criterion is proposed. First, we define the basic framework of the approach and review concepts such as a Pareto efficient solution and expected-variance value criterion using an order relation between various uncertain variables.Second, the uncertain multi-objective problem is converted into an uncertain single-objective programming problem via a linear weighted method or ideal point method. Then the problem is transformed into a deterministic single objective programming problem under the expected-variance value criterion. Third, four lemmas and two theorems are proved to illustrate that the optimal solution of the deterministic single-objective programming problem is an efficient solution to the original uncertainty problem. Finally, two numerical examples are presented to validate the effectiveness of the proposed approach. 展开更多
关键词 uncertainty theory uncertain multi-objective programming expected-variance value criterion
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Top-k Outlier Detection from Uncertain Data 认领 引用 被引量：6
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作者 Salman Ahmed Shaikh Hiroyuki Kitagawa 《International Journal of Automation and computing》 CSCD 2014年第2期128-142,共15页
Uncertain data are common due to the increasing usage of sensors, radio frequency identification(RFID), GPS and similar devices for data collection. The causes of uncertainty include limitations of measurements, inclu... Uncertain data are common due to the increasing usage of sensors, radio frequency identification(RFID), GPS and similar devices for data collection. The causes of uncertainty include limitations of measurements, inclusion of noise, inconsistent supply voltage and delay or loss of data in transfer. In order to manage, query or mine such data, data uncertainty needs to be considered. Hence,this paper studies the problem of top-k distance-based outlier detection from uncertain data objects. In this work, an uncertain object is modelled by a probability density function of a Gaussian distribution. The naive approach of distance-based outlier detection makes use of nested loop. This approach is very costly due to the expensive distance function between two uncertain objects. Therefore,a populated-cells list(PC-list) approach of outlier detection is proposed. Using the PC-list, the proposed top-k outlier detection algorithm needs to consider only a fraction of dataset objects and hence quickly identifies candidate objects for top-k outliers. Two approximate top-k outlier detection algorithms are presented to further increase the efficiency of the top-k outlier detection algorithm.An extensive empirical study on synthetic and real datasets is also presented to prove the accuracy, efficiency and scalability of the proposed algorithms. 展开更多
关键词 Top-k distance-based outlier detection uncertain data Gaussian uncertainty cell-based approach PC-list based approach
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Research on the Evaluation of Risk Control Schemes for Engineering Projects under Uncertain Environments 认领 引用
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作者 Xiaoyang Zeng Weizhe Shu 《Journal of Architectural Research and Development》 2025年第6期66-71,共6页
To effectively select risk control schemes in uncertain environments,this paper has proposed an analysis and evaluation method based on the fuzzy comprehensive evaluation method.Firstly,enterprises have adopted the br... To effectively select risk control schemes in uncertain environments,this paper has proposed an analysis and evaluation method based on the fuzzy comprehensive evaluation method.Firstly,enterprises have adopted the brainstorming method and the Delphi method to identify risks in engineering projects,and organized the identified risks in the form of checklists to facilitate further analysis.Secondly,the fuzzy comprehensive evaluation theory was introduced to determine the comparison matrix of each risk factor and its weight.Furthermore,the top five risk factors in terms of weight ranking were taken as the evaluation factors for the selection of risk control plans.The plans were scored through the weighted scoring method,and the optimal risk control plan was determined based on the score.Finally,the feasibility of the proposed selection technology was verified through A research example of the risk control plan assessment for the construction project of Enterprise A. 展开更多
关键词 Engineering projects Fuzzy comprehensive evaluation method Uncertain environment Risk control schemes
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