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A new evidence combination rule based on weight of evidence

International Journal of Simulation: Systems, Science and Technology 2016年第36期17卷 29.1-29.4页

作者： Zhu, Weidong Sun, Yibo Liu, Jingyu Hefei University of Technology HefeiAnhui230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education HefeiAnhui230009 China

Pignistic probability distance can describe evidence distance accurately. The paper calculates the similarity of evidence based on Pignistic probability distance, then determines the relative weight of evidence. In the Dempster’s combination rule, every piece of evidence has equal importance, which severely limits the application of evidence theory, thus we revise the combination rule by introducing the weight into it. The system simulation shows that the revised combination rule reaches better result which in accordance with basic human cognition. © 2016, UK Simulation Society. All rights reserved.

关键词： Probability

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Hierarchical method of task assignment for multiple cooperating UAV teams

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Journal of Systems Science & Complexity 2015年第5期28卷 1000-1009页

作者： Xiaoxuan Hu Huawei Ma Qingsong Ye He Luo School of Management Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education

The problem of task assignment for multiple cooperating unmanned aerial vehicle(UAV) teams is considered. Multiple UAVs forming several small teams are needed to perform attack tasks on a set of predetermined ground targets. A hierarchical task assignment method is presented to address the problem. It breaks the original problem down to three levels of sub-problems: target clustering, cluster allocation and target assignment. The first two sub-problems are centrally solved by using clustering algorithms and integer linear programming, respectively, and the third sub-problem is solved in a distributed and parallel manner, using a mixed integer linear programming model and an improved ant colony algorithm. The proposed hierarchical method can reduce the computational complexity of the task assignment problem considerably, especially when the number of tasks or the number of UAVs is large. Experimental results show that this method is feasible and more efficient than non-hierarchical methods.

关键词： unmanned aerial vehicle （UAV） task assignment clustering integer linear programming ant colony optimization（ACO） algorithm

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A Multi-dimensional Trust-aware Cloud Service Selection Mechanism Based on Evidential Reasoning Approach

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International Journal of Automation and computing 2015年第2期12卷 208-219页

作者： Wen-Juan Fan Shan-Lin Yang Harry Perros Jun Pei School of Management Hefei University of Technology Department of Computer Science North Carolina State University The Ministry of Education Key Laboratory of Process Optimization and Intelligent Decision Making Department of Industry and System Engineering University of Florida

In the last few years, cloud computing as a new computing paradigm has gone through significant development, but it is also facing many problems. One of them is the cloud service selection problem. As increasingly boosting cloud services are offered through the internet and some of them may be not reliable or even malicious, how to select trustworthy cloud services for cloud users is a big challenge. In this paper, we propose a multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning(ER) approach that integrates both perception-based trust value and reputation based trust value, which are derived from direct and indirect trust evidence respectively, to identify trustworthy services. Here, multi-dimensional trust evidence, which reflects the trustworthiness of cloud services from different aspects, is elicited in the form of historical users feedback ratings. Then, the ER approach is applied to aggregate the multi-dimensional trust ratings to obtain the real-time trust value and select the most trustworthy cloud service of certain type for the active users. Finally, the fresh feedback from the active users will update the trust evidence for other service users in the future.

关键词： Cloud service selection multi-dimensional trust evidence trust and reputation evaluation evidential reasoning(ER) clond service

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Financing constraints, principal-agent and Chinese listed firms’ output efficiency

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International Journal of u- and e- Service, Science and Technology 2016年第8期9卷 189-200页

作者： Zhu, Weidong Wang, Yiling Liu, Jingyu School of Economics Hefei University of Technology HefeiAnhui230009 China School of Management Hefei University of Technology HefeiAnhui230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education HefeiAnhui230009 China

It is shown that output under financing constraints and principal-agent can be modeled as a one-side deviation from a frictionless output level. The effects of financing constraints and principal-agent can be identified and quantified by imposing a distribution assumption on the effects. Panel data on Chinese listed firms between 2008 and 2013 are used in the estimation. It is found that: (1) the output efficiency of Chinese listed firms is significantly affected by financing constraints and principal-agent;(2) the severity of financing constraints and principal-agent of firms in different regions varies;(3) firms’ output efficiency in east China varies greatly, and the mean efficiency is the lowest of the three regions. © 2016 SERSC.

关键词： Efficiency

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Stability Analysis on a Bus Route Based on the Time-Headway Model Considering Bus Capacity 15

Stability Analysis on a Bus Route Based on the Time-Headway ...

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15th COTA International Conference of Transportation Professionals: Efficient, Safe, and Green Multimodal Transportation, CICTP 2015

作者： Zhang, Jian Ding, Jian-Xun Wang, Jian Shi, Qin Kühne, Reinhart D. School of Transportation Engineering Hefei University of Technology Hefei230009 China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Hefei230009 China Department for Transportation University of Stuttgart Stuttgart70174 Germany

ISBN: (数字)9780784479292

ISBN: (纸本)9780784479292

We emphasize the bus capacity or load limit effect on the dynamical phase transition between the delay and schedule time based on the time headway model of bus route system. A variety of schedule or delay phase spectrums have been drawn in a series of bus capacities. The phase diagrams perfectly degenerate into traditional research findings in two extreme conditions of with/without bus capacity. The retention rate is proposed as another index to evaluate the system performance and acquire the optimal load limit and the corresponding departure frequency at various arrival rates. It is concluded that the vehicle capacity limit can expand the schedule-time phase and we can take a certain load limit and departure frequency corresponding to the arrival rate. © ASCE.

关键词： Buses

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Fault detection and identification for a class of nonlinear systems with model uncertainty

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Applied Mathematical Modelling 2016年第15-16期40卷 7368-7381页

作者： Bingyong Yan Housheng Su Wei Ma School of Automation Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology 130 Meilong Road Shanghai 200237 China School of Automation Key Laboratory of Image Processing and Intelligent Control of Ministry of Education of China Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory for Advanced Materials & Institute of Fine Chemicals East China University of Science and Technology 130 Meilong Road Shanghai 200237 China

In this paper, we present a novel fault detection and identification (FDI) scheme for a class of nonlinear systems with model uncertainty. At the heart of this approach is an on-line approximator, referred to as fault tracking approximator (FTA). Differently from the other approximators, the FTA uses iterative algorithms to detect and identify nonlinear system faults, even in the presence of model uncertainty, which is motivated by predictive control theory and iterative learning control theory. The FTA can simultaneously detect and identify the shape and magnitude of the faults. The rigorous stability analysis and fault tracking properties of the FTA are also proved. Finally, two examples are given to illustrate the feasibility and effectiveness of the proposed approach.

关键词： Fault detection and identification Predictive control Iterative learning control

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The Dynamic Migration Model for Cloud Service Resource Balancing Energy Consumption and QoS

The Dynamic Migration Model for Cloud Service Resource Balan...

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第27届中国控制与决策会议

作者： He Luo Jie Cao Yongkang Wang Xiaoxuan Hu School of Management Hefei University of Technology Key Laboratory of the Ministry of Education on Process Optimization & Intelligent Decision Making

ISBN: (纸本)9781479970186

The data center Energy Consumption(EC) and the user Quality of Service(QoS) are two important influencing factors,which the cloud service provider must balance in the process of providing virtual cloud services resources(VCSR).For the VCSR over-deployment phenomenon happening in cloud computing Infrastructure as a Service(IAAS),a user-oriented deployment constraint of VCSR is proposed,and the definition of user's Service Level Agreements(SLA) and the energy consumption of data center are also *** the basis of that,the model of dynamic migration of the virtual nodes is given,solved by simulated annealing *** the experiments,different strategies are compared using *** results show that the suggested strategy has advantages on balancing the energy consumption of data center and user's QoS.

关键词： Cloud computing Virtualization Dynamic consolidation Service Level Agreements

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Comprehensive Evaluation and Temporal-spatial Evolution of the Development Level of Tourism about the Cities of Anhui

Comprehensive Evaluation and Temporal-spatial Evolution of t...

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第十届（2015）中国管理学年会

作者： Zhang Xin Lu Xiao-mei Du Li-yan School of Management Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education

This paper firstly builds a comprehensive evaluation of the development level of tourism industry about the cities of Anhui,then it uses AHP to determine the weight and TOPSIS method to analyze the development level of tourism industry about the cities of Anhui in 2004,2008 and 2012. The method of the Markov chain analyzes the time pattern evolution of the development level of tourism industry,and the spatial autocorrelation analysis of Arc GIS10.0 software explores the temporal-spatial evolution of the development level of tourism industry about the cities. The results show that the tourism industry of Anhui province has been initially formed agglomeration effect,the region's tourism industry development in southern Anhui is always strong,the growth of tourism industry development level in the middle area of Anhui is most prominent,and the region's tourism industry development in northern Anhui is always weak.

关键词： Tourism Industry Temporal-spatial Evolution TOPSIS Method Markov Chain The Spatial Autocorrelation Analysis

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An improved discrete optimization algorithm based on artificial fish swarm and its application for attribute reduction

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Journal of Information and Computational Science 2015年第6期12卷 2143-2154页

作者： Ni, Zhiwei Zhu, Xuhui Ni, Liping Cheng, Meiying Wang, Yiling School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Hefei China

The discrete Artificial Fish Swarm Algorithm (AFSA) has some defectives, such as falling into local optimum value, converging slowly. In order to overcome these shortcomings, an improved discrete optimization algorithm based on artificial fish swarm (IDAFSA) is proposed by improving swarming and preying behavior and moving way for making it discrete, and introducing a strategy of overcoming the local optimum. In addition, the paper strengthens the theoretical basis of the algorithm by proving the global convergence. And then, this algorithm which was combined with fractal dimension is applied to attribute reduction problem. Finally, analyzing the parameters in detail and comparing with other literatures by testing six UCI datasets, and the experimental results show that the method has relatively high feasibility and effectiveness. Copyright © 2015 Binary Information Press.

关键词： Fractal dimension

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Binary ant colony algorithm with particle optimization feature for attribute reduction problem

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Journal of Information and Computational Science 2015年第8期12卷 3051-3061页

作者： Ni, Zhiwei Cheng, Meiying Wu, Zhangjun Xiao, Hongwang Zhu, Xuhui School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Hefei China

According to the lack of initial pheromone which leads to the long searching time of the Binary Ant Colony algorithm (BACO), a novel method named Binary Ant Colony Algorithm with Particle optimization Feature (PBACO) is proposed in this paper. Starting from one-dimensional cellular automata model, the initial solution is produced by Binary Particle Swarm optimization (BPSO). Then mapping mechanism is introduced to convert the position of particle into pheromone, in this way, a path with distinct discrepancy level of pheromone is generated in the shortest time, and the total searching time of BACO is greatly reduced. At last, PBACO combined with fractal dimension is utilized to solve attribute reduction problem. Six datasets are used to conduct experiments. Experimental results show that our proposed method has comparatively high classification accuracy. Copyright © 2015 Binary Information Press.

关键词： Cellular automata

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