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International Conference on intelligent Computation Technology and Automation, ICICTA

作者： Luan Gao Feng-gang Li Jian Wang Yu Liang Yu Li Anhui Chinese Medical College of Chinese Medicine Clinic Institute Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei University of Technology Hefei China

The purpose of this paper is to probe into the rules of medicine compounding for stroke prevention treated by Xin'an physicians by data mining. The method is in two steps. First step is to build the database of the Xin'an physical stroke prevention. Second step is to use the method of association rules contained in professional data mining software and probe into the medicine rules for stroke prevention treated by Xin'an physicians. The result is that Chenpi, Fuling, Gancao, Luxiancao, Xiqiancao, Baijili, and Shinanye which are of the seven common Chinese medical compounding prescriptions can be used for Xin'an physicians' stroke prevention. The conclusion is that we should utilize the eliminating phlegm, calming wind and clearing the channels when Xin'an physicians treat stroke problem.

关键词： Medical diagnostic imaging Association rules Itemsets Diseases Drugs

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Developing an evaluation approach for software trustworthiness using combination weights and TOPSIS

Journal of Software

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Journal of Software 2012年第3期7卷 532-543页

作者： Shi, Li Yang, Shan-Lin Li, Kai Yu, Ben-gong School of Management Hefei University of Technology Hefei 230009 China Institute of Computer Network System Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Hefei 230009 China

Software is everywhere. However, software is not always trustworthy. Confronting the demand of software trustworthiness evaluation, this paper proposes a novel software trustworthiness evaluation approach based on combination weights (CW) and improved TOPSIS methods. The determination of CW relies on experts' judgments and mathematical computation together. FAHP method is used to determine the importance of degree of criteria according to the experts' judgment. To avoid the subjective one-sidedness of weights, entropy weighting method is employed to calculate objective weights. Then, the paper adopts combination weighting method to obtain the CW of evaluation criterion. Next, the CW is applied to the improved TOPSIS method and the trustworthiness rating of software is calculated. The result contributes to provide decision makers more decision information. Finally, the proposed approach is demonstrated with the evaluation of PLM software for an aircraft equipment manufacturer in China, which is followed by the sensitivity analysis and the results illustrate the robustness of the presented evaluation approach. © 2012 ACADEMY PUBLISHER.

关键词： Sensitivity analysis

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Integration scheduling optimization problem of production and transportation in supply chain

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Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology 2012年第SUPPL.2期36卷 292-298页

作者： Pei, Jun Liu, Xin-Bao Fan, Wen-Juan Liu, Lin Zhang, Yu-Lei School of Management Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-Making of Ministry of Education Hefei 230009 China

To study two-tier supply chain scheduling models comprised by multi suppliers and multi manufacturers, the scheduling optimization theory is applied into the supply chain domain. A math model is built by taking the minimization of total flow time of work pieces and total cost of delivery as optimization objectives. The dynamic programming algorithm is used to solve the problem based on analyzing the features of its optimum solution. Multi-objectives fusion is realized through analytic hierarchy process in the algorithm iterative process. The feasibility of this model and algorithm is illustrated by a numerical example.

关键词： Analytic hierarchy process

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Heuristic algorithms for scheduling on uniform parallel machines with heads and tails

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Journal of Systems Engineering and Electronics 2011年第3期22卷 462-467页

作者： Kai Li Shanlin Yang School of Management Hefei University of TechnologyHefei 230009P.R.China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of EducationHefei University of TechnologyHefei 230009P.R.China

This paper considers the uniform parallel machine scheduling problem with unequal release dates and delivery times to minimize the maximum completion *** this NP-hard problem,the largest sum of release date,processing time and delivery time first rule is designed to determine a certain machine for each job,and the largest difference between delivery time and release date first rule is designed to sequence the jobs scheduled on the same machine,and then a novel algorithm for the scheduling problem is *** evaluate the performance of the proposed algorithm,a lower bound for the problem is *** accuracy of the proposed algorithm is tested based on the data with problem size varying from 200 jobs to 600 *** computational results indicate that the average relative error between the proposed algorithm and the lower bound is only 0.667%,therefore the solutions obtained by the proposed algorithm are very accurate.

关键词： scheduling parallel machine uniform release date/head delivery time/tail.

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Clustering ensembles algorithm based on fractal dimension

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Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) 2012年第SUPPL. 1期42卷 364-367页

作者： Wu, Xiao-Xuan Ni, Zhi-Wei Ni, Li-Ping School of Management and Business Intelligence Institute Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Hefei University of Technology Hefei 230009 China

The fractal dimension based clustering ensembles algorithm was studied. It introduced clustering algorithm based on fractal dimension at first in order to create partitions for clustering ensembles, then using voting strategy to get ensembles result. Finally, an idea on distributed clustering ensembles under cloud computing environment was brief discussed. Fractal dimension based clustering ensembles algorithm can offer better solutions in terms of robustness, novelty and stability than the single clustering algorithm based on fractal dimension. Combining the approaches based on grid and fractal, the clustering algorithm called grid and fractal dimension based clustering algorithm (GFDC) was presented to create partitions for clustering ensembles instead of clustering algorithm based on fractal dimension. GFDC is able to capture arbitrary shapes and non-neighboring clustering and can be applied to the massive and high-dimension dataset.

关键词： Fractal dimension

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RETRACTED ARTICLE: Research of fractal dimension calculation algorithm based on Mobile Box-Counting Method

RETRACTED ARTICLE: Research of fractal dimension calculation...

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2011 7th International Conference on Natural Computation, ICNC 2011

作者： Li, Feng-Gang Gong, Wei-Feng Li, Ying Liang, Yu Wang, Xiao-Lu Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei University of Technology Hefei 230009 China

ISBN: (纸本)9781424499533

Fractal data mining technology is based on the fractal characteristic of data set, the real data set usually exists approximate fractal characteristic in the fractal non-scaling interval. Fractal dimension can describe the fractal characteristic of data sets, but the most popular fractal dimension calculation algorithm gets the minimal cover set using Box-Counting method is inaccurate. Mobile Box-Counting Method which finds the minimal cover set more accurately by moving and merging multi-dimensional grid can calculate fractal dimension more accurately. © 2011 IEEE.

关键词： Fractal dimension

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Mining organizational structure from workflow logs

Mining organizational structure from workflow logs

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2011 International Conference on e-Education, Entertainment and e-Management, ICEEE 2011

作者： Ni, Zhiwei Wang, Sha Li, Huaiying School of Management Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei 230009 China

ISBN: (纸本)9781457713811

Workflow mining is a concept in early era, it analyzes the workflow log in the control flow dimensions, to mining the actual process model, but ignores relationships among executors in workflow, hence it fails to effectively excavate the workflow log to find the implicit structure. In this paper, the organizational dimensions of workflow log will be the main focuses to be researched. The paper introduces executor similarity metrics and grid clustering to demonstrate the methods of the organizational structure mining based on executor similarity and organization mining based on grid clustering. Both of them are effective to extract the actual organizational structure from the workflow logs. © 2011 IEEE.

关键词： grid clustering organizational structure workflow mining

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A method based on manifold learning and bagging for text classification

A method based on manifold learning and bagging for text cla...

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2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011

作者： Li, Feng Gang Fan, Ji Li Wang, Li Zhang, Hu Lin Duan, Rui School of Management Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei University of Technology Hefei 230009 China

ISBN: (纸本)9781457705366

In order to solve the problem of high dimension in text classification, the paper proposes a method based on manifold learning and Bagging for text classification which imports manifold learning algorithm for dimension *** Bagging algorithm is introduced when training classifier to improve the accuracy of text classification. Experimental results demonstrate that effect of text dimension reduction by manifold learning algorithm in the pretreatment of text classification is better, and the performance of the classifier has improved significantly. © 2011 IEEE.

关键词： Classification (of information)

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Application Research on Electricity Demand Forecasting Based on Gaussian Quadrature Formula

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Procedia Engineering 2011年 15卷 5574-5578页

作者： Xiaojia Wang Hefei University of Technology. Key Laboratory of Process Optimization and Intelligent Decision-Making Hefei Anhui. 230009China

This paper constructs the background value of grey GM (1, 1) model by using Gaussian quadrature formula, improves its accuracy and the data quality. It indicates that reconstruction of the background value is the key ... 详细信息

关键词： GM (1 1) model Gauss quadrature formula background value forecasting

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The research on the risks & the countermeasures of the distributed IT projects

The research on the risks & the countermeasures of the distr...

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International Conference on Computer and Management

作者： Zhu, Yinghong Liang, Changyong School of Management Hefei University of Technology Heifei Anhui China School of Vocational Technology Education Guangxi University of Technology Liuzhou Guangxi China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Heifei Anhui China

ISBN: (纸本)9781424492831

Nowadays, more and more large IT projects need to unit several entities to accomplish together, which forms project-oriented and geographically distributed virtual organizations and leads to new distributed risks. This article first gives a definition of the distributed IT projects (DITPs), then based on the literature, studies the risk characteristics, risk scope, risk factors of DITPs, and finally studies the developing process of the DITPs and gives a risk management process of iterative and incremental agile development of the whole lifecycle of the DITPs from a few respects such as the set of an organization goal of win-win, the project development of grading iteration and increment, the introduction supervisory mechanism of a third party, and the establishment of study mechanism of risk management. ©2011 IEEE.

关键词： Grading

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