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A study on DS-SVM-based forecast model from the view of information fusion

International Journal of u- and e- Service, Science and Technology 2015年第2期8卷 395-404页

作者： Zhu, Weidong Sun, Yibo Wu, Yong Liu, Jingyu School of Economics Hefei University of Technology HefeiAnhui China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education HefeiAnhui China Institute of Industrial Information Hefei University of Technology HefeiAnhui China School of Management Hefei University of Technology HefeiAnhui China School of Management Hefei University of Technology HefeiAnhui China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education HefeiAnhui China School of Management Hefei University of Technology HefeiAnhui China

Dempster-Shafer Theory is specially advantaged in information fusion, while Support Vector Machine (SVM) can well deal with high-dimensional limited sample data. This Article firstly forecasts the data samples by categories with multiple SVMs, and hence based thereon, fuses the resulting information from multiple SVM models by using DS theory. At the end, Anderson's Iris data set is used to simulate the system of the created DS-SVM model, which shows that the approaches proposed in this Article can not only increase the accuracy rate of the SVM forecasting model, but also improve the propensity scores of the SVM forecasting model. © 2015 SERSC.

关键词： Support vector machines

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COS-training: A new semi-supervised learning method for keyphrase extraction based on co-training and SMOTE

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ICIC Express Letters, Part B: Applications 2015年第1期6卷 233-238页

作者： Wang, Gang Yang, Shanlin Ma, Jian School of Management Hefei University of Technology No. 193 Tunxi Road Hefei China Ministry of Education Key Laboratory of Process Optimization and Intelligent Decision-Making Hefei University of Technology No. 193 Tunxi Road Hefei China Department of Information Systems City University of Hong Kong Tat Chee Avenue Kowloon Hong Kong

As keyphrase is a small set of words that can best represent a document, they play significant roles in varieties of text-related tasks. In recent years, many unsupervised and supervised methods have been proposed for keyphrase extraction. However, keyphrase extraction is an imbalanced classification problem in nature and contains many unlabeled data, which have not been paid attention to in the previous studies. In this research, a new semi-supervised learning method, COS-training, is proposed for keyphrase extraction based on co-training and SMOTE. For the testing and illustration purpose, a keyphrase extraction dataset is selected to verify the effectiveness of the proposed method. Empirical results reveal that COS-training is a potential solution for keyphrase extraction. Among the compared methods, COS-training gets the best result. Al l these results illustrate that COS-training can be used as an alternative method for keyphrase extraction.

关键词： Extraction

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Mid-term load forecasting based on modified grey model

Mid-term load forecasting based on modified grey model

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2013 International Conference on Mechatronics and Automatic Control Systems, ICMS 2013

作者： Wang, Haijiang Yang, Shanlin Key Lab of Process Optimization and Intelligent Decision-making Hefei University of Technology Hefei China School of Management Hefei University of Technology Hefei China

ISBN: (纸本)9783319012728

The construction of smart grid put forward higher requirements on deployment accuracy of the energy. Power generation and electricity sectors have carried out more accurate data analysis and forecasting. In this context, we provide a Gauss-Chebyshev GM(1,1) model, This model could overcome the lack of traditional grey model and made accurate forecasting of electricity consumption in smart grid, Finally, numerical examples demonstrate that this method can efficiently improve the prediction accuracy. © Springer International Publishing Switzerland 2014.

关键词： Smart power grids

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The green project of data management for industrial integration

International Journal of Database Theory and Application

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International Journal of Database Theory and Application 2015年第6期8卷 333-342页

作者： Tian, Yiming Zhu, keyu Pan, Ruoyu Liang, Changyong School of Computer and Information Hefei University of Technology Anhui Transport Interconnection Management Center Hefei China Institute of Computer Network Systems Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China Key Technologies and Equipment of IOT of Highway Traffic Anhui Engineering Technology Research Center Hefei China

The green project fulfills the requests of industrial management and application by sharing data rather than isolating. The data center with energy-efficient equipment is correspondingly effective in industrial service, management and construction of information. This study suggests a green data center in the two-level framework as a basic factor in industrial integration with potent procedures. In the case of transportation, it processed validating data to resolve logistics and emergency operations. © 2015 SERSC.

关键词： Information management

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Electricity consumption forecasting based on a class of new GM (1, 1) model

Electricity consumption forecasting based on a class of new ...

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2013 International Conference on Mechatronics and Automatic Control Systems, ICMS 2013

作者： Yao, Mei Wang, Xiaojia School of Mathematics Hefei University of Technology Hefei China Key Lab of Process Optimization and Intelligent Decision-making Hefei University of Technology Hefei China

ISBN: (纸本)9783319012728

In recent years, with the development of society and the progress of science and technology, the GM (1, 1) model has been widely applied in economy, management, industry, control, social development plan, etc. But the GM (1, 1) model in the application process has encountered a low accuracy of predictions. Therefore, the improvement and optimization research of GM (1, 1) model is an important issue. In order to improve the prediction accuracy of GM (1, 1) model, it is necessary to consider reconstructing the background value of the model, which can improve the quality of the forecasting model. This paper discusses the improved GM (1, 1) model. The improved model has better prediction accuracy. It is used to forecast the society electricity consumption in eastern China, and the specific numerical examples demonstrate that this method can improve the simulation and the prediction accuracy. © Springer International Publishing Switzerland 2014.

关键词： Forecasting

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An Inventory Control Model for Perishable Items with Stochastic Replenishment Interval and Stock-dependent Selling Rate

An Inventory Control Model for Perishable Items with Stochas...

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第26届中国控制与决策会议

作者： Guang-fan Xu Xiao-jia Wang Yan-yan Wu Shan-lin Yang School of Management Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education

ISBN: (纸本)9781479937097

Periodic replenishment inventory models are widely used in practice, especially for inventory systems in which many different goods are purchased from the same supplier. However, most of periodic replenishment inventory models have assumed a fixed length of the replenishment periods. In practice, it is possible that the replenishment periods are of a stochastic length. This paper presents an inventory control model for deteriorating items in the case of random replenishment intervals and stock-dependent selling rate. The replenishment interval is assumed to obey from two different distributions, namely, exponential and uniform distributions. Also, shortages are allowed in the term of partial backordering. For this model, we provide the necessary and sufficient conditions of the existence and uniqueness of the optimal solutions and a procedure is also developed to determine the optimal solution for the proposed models. At last, numerical example is shown to illuminate the presented model.

关键词： stochastic replenishment interval,stock-dependent selling rate,inventory control,partial backlogging,deteriorating items

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Security evaluation model for the enterprise cloud services based on grey fuzzy AHP

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Computer Modelling and New Technologies 2014年第10期18卷 239-244页

作者： Bengong, Yu Liu, Wang Fengyi, Guo School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

This paper analyses the application status of cloud services to identify four factors that affect the security of enterprise cloud services (ECSs), including platform facilities, operational safety, operations management, and legal factors. Based on the four factors, the grey fuzzy analytic hierarchy process (GFAHP) is used to construct an evaluation model for the security of ECSs. An example is investigated to demonstrate the proposed model.

关键词： Web services

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Research of Information Organization Based on Folksonomy

Research of Information Organization Based on Folksonomy

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第五届复杂科学管理国际研讨会

作者： YU Bengong GU Jiawei School of Management Hefei University of Technology P.R.China China Key Laboratory of Process Optimization and Intelligent Decision Making of Ministry of Education Hef

This paper proposes a method which uses RDF to express resources, tags and users of Folksonomy and allows users to assign tags freely by achieving the storage and query of RDF *** provides a means for completely open and sharing of information between *** it is also applied in the manufacture enterprises' website that it widens the application range of *** method can not only improve the degree of users' participation, but also realize the efficient management of mass data and the quick query of Information.

关键词： Folksonomy RDF Information Organization Information Representation

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A novel hybrid dynamic programming algorithm for a two-stage supply chain scheduling problem

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8th International Conference on Learning and intelligent optimization, LION 2014

作者： Pei, Jun Liu, Xinbao Fan, Wenjuan Pardalos, Panos M. Liu, Lin School of Management Hefei University of Technology Hefei 230009 China Center for Applied Optimization Department of Industrial and Systems Engineering University of Florida Gainesville FL 32601 United States Key Laboratory of Process Optimization and Intelligent Decision-making of Ministry of Education Hefei 230009 China Department of Computer Science North Carolina State University Raleigh NC 27695-7534 United States

ISBN: (纸本)9783319095837

This study addresses a two-stage supply chain scheduling problem, where the jobs need to be processed on the manufacturer's serial batching machine and then transported by vehicles to the customer for further processing. The size and processing time of the jobs are varying due to the differences of types, and setup time is needed before processing one batch. For the problem with minimizing the makespan, we formalize it as a mixed integer programming model. In addition, the structural properties and lower bound of the problem are provided. Based on the analysis above, a novel hybrid dynamic programming algorithm, combining dynamic programming and heuristics, is proposed to solve the problem. Furthermore, its time complexity is also analyzed. By comparing the experimental results of our proposed algorithm with the heuristics B F F and L F F , we demonstrate that our proposed algorithm has better performance and can solve the problem in a reasonable time. © 2014 Springer International Publishing.

关键词： Dynamic programming

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A BSC-ANP Model for Evaluation of Strategic Fit of New Product Development Projects

A BSC-ANP Model for Evaluation of Strategic Fit of New Produ...

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第25届中国控制与决策会议

作者： Ying Yang ShanLin Yang Jian Yang School of Management Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education

ISBN: (纸本)9781467355339

New product development (NPD) projects have been major forces driving company competitive advantage. All of them should align with corporate strategy so that the limited resources may be allocated effectively. However, few studies have been conducted to measure the extent that the NPD project matches with strategy. The paper identifies the cause-effect relationships between the strategy BSC measures for NPD projects based on strategy map and presents a BSC-ANP model to evaluate the strategic fit of projects. The causal relationships and interdependencies between projects and criteria are integrated with ANP model to produce the final priorities of projects with respect to their strategic fit. The proposed model was tested against empirical data drawn from NPD projects in an automobile company.

关键词： Evaluation, Strategic fit, New product development project, BSC-ANP

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