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2011 International Conference on Business Management and Electronic Information, BMEI 2011 - 2011 International Conference on Supernetworks and System Management, ICSSM 2011

作者： Liang, Changyong Gu, Dongxiao Bichindaritz, Isabelle Zuo, Chunrong Cheng, Fei School of Management Hefei University of Technology Hefei Anhui 230009 China Key Laboratory of Process Optimization Intelligent Decision-making of Ministry of Education of China Hefei Anhui 230009 China Institute of Technology University of Washington Tacoma WA 98402 United States Department of Computer Science University of Illinois at Chicago Chicago IL 60607 United States Research Center of Intelligent Decision Making Information System Technologies of Ministry of Education of China Hefei Anhui 230009 China

ISBN: (纸本)9781612841069

Security assessment of Thermal Power Plants (TPPs) is one of the important means to guarantee the safety of production in thermal power production enterprises. Essentially, the evaluation of power plant systems relies to a large extent on the knowledge and length of experience of the experts. Therefore in this domain Case-Based Reasoning (CBR) is introduced for the security assessment of TPPs since this methodology models expertise through experience management. Taking the management system of TPPs as breakthrough point, this paper presents a case-based approach for the security assessment decision support of TPPs (SATPP). First, this paper reviews commonly used approaches for TPPs security assessment and the current general evaluation process of TPPs security assessment. Then a framework for the Management System Security Assessment of Thermal Power Plants (MSSATPP) is constructed and an Intelligent decision Support System for MSSATPP (IDSS-MSSATPP) is functionally designed. MSSATPP involves several key technologies and methods such as knowledge representation and case matching. © 2011 IEEE.

关键词： Case based reasoning

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Service-oriented partner selection process model and algorithm for dynamic virtual enterprise

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Journal of Computational Information Systems 2011年第14期7卷 5159-5166页

作者： Zhang, Yiwen Ni, Zhiwei Song, Jie Wang, Li Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei University of Technology Hefei 230009 China School of Computer Science and Technology Anhui University Hefei 230009 China

The key link of constructing a virtual enterprise is to choose a cooperation partner who has the characteristics of sensitive, competitive and compatible. To solve the large scale partner selection under the environment of networked collaborative manufacturing, this paper puts forward a service-oriented dynamic virtual enterprise partner selection process model. Based on this, it further combining parallel genetic algorithm (PGA) with interactive genetic algorithm (IGA), and put forward a kind of phases of partner selection strategy. Use of each enterprise service enterprise constraint of preliminary screening to reduce problem solving space, top-k kinds of optimizing enterprise service composition can be achieved using PGA. Then, the optimal partner composition is acquired using IGA under mutual cooperation of group decision-making and evolution mechanism conditions. Finally, through the experiments proved its rationality and feasibility. © 2011 Binary Information Press December, 2011.

关键词： Problem solving

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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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International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC)

作者： FengGang Li JiLi Fan Li Wang HuLin Zhang Rui Duan Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei University of Technology Hefei China Hefei University of Technology Hefei Anhui CN

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 reduction. And 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.

关键词： Classification algorithms Text categorization Manifolds Training Bagging Support vector machine classification Euclidean distance

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The construction of performance management system based on balanced scorecard

The construction of performance management system based on b...

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International Conference on Computer Science and Service System (CSSS)

作者： Dengzhou Zhang Zhanglin Peng Yuanyuan Gao finance Department China electronics technology group corporation Beijing China Institute of Computer Network System Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

ISBN: (纸本)9781424497621

In China, there are many actual problems in some enterprises' performance management, such as the target dislocation, the unscientific assessment indicator, the assessment results' not linking to rewards and punishments, assessment system solidification and so on. All these problems have affected the effectiveness display of performance management to a great extent. In view of this, this article has constructed performance management system based on the balanced scorecard, taking advantage of balanced scorecard in the strategic management and the performance management. Finally, the article demonstrates the validity and rationality of the research through the case study of Company A.

关键词： Companies Marketing and sales Finance Qualifications Military communication

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Case-based safety assessment of thermal power plants: A framework

Case-based safety assessment of thermal power plants: A fram...

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International Conference on Business Management and Electronic Information (BMEI)

作者： Changyong Liang Dongxiao Gu Isabelle Bichindaritz Chunrong Zuo Fei Cheng School of Management Hefei University of Technology Hefei Anhui China Research Center of Intelligent Decision Making and Information System Technologies Ministry of Education of China Hefei Anhui China Department of Computer Science University of Illinois Chicago Chicago IL USA Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education of China Hefei Anhui China Institute of Technology University of Washington Tacoma WA USA

关键词： Security Safety Production Power generation Power systems decision making Indexes

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Independent innovation capability evaluation and analysis on wanjiang city-zone

Independent innovation capability evaluation and analysis on...

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International Conference on Computer Science and Service System (CSSS)

作者： Dengzhou Zhang Yuanyuan Gao Zhanglin Peng School of Management Hefei University of Technology Hefei China finance Department China electronics technology group corporation Beijing China Institute of Computer Network System Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

As the capacity of independent innovation is a vital measure standard for the success of a city's construction, the goal of this paper is to analyze and comment it. In order to make the research result more objective and precise, a system of evaluating indicator which includes the ability of innovation input, management, guarantee and output has been established. Moreover, by using the method of Principal Component Analysis, the capacity for independent innovation of nine cities in the Wanjiang city-region is clearly realized. Finally, hoping that this paper would be helpful to the construction of Wanjiang city-region for industrial transfer and provide a policy basis for the macroscopic readjustment and control as well as management.

关键词： Technological innovation Cities and towns Security Economic indicators Industries Appraisal Finance

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The selection of project management software by FAHP and FMCDM in automobile R&D process

The selection of project management software by FAHP and FMC...

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2nd International Conference on Networking and Digital Society, lCNDS 2010

作者： Fu, Lei Shi, Li Yang, Ying Yu, Bengong Key Laboratory of Process Optimization and Intelligent Decision-making School of Management Hefei University of Technology Hefei China

ISBN: (纸本)9781424451616

The selection of project management (PM) software is a complex issue and has significant impacts to the efficiency of the automobile research & development (R&D) process. Given two alternatives based on critical path method (CPM) and critical chain project management (CCPM) respectively, decision-makers usually cause confusion. This paper analyzed the characteristic of automobile R&D project and developed an evaluation model based on the fuzzy analytic hierarchy process (FAHP) and fuzzy multiple criteria decision making (FMCDM) methods, which can help the managers in automobile industry to select more appropriate software in the course of product R&D. In particular, the FAHP method is used to obtain the weights of evaluation criteria, and the FMCDM method is used to determine the final rank of the software. The uncertainty and vagueness in evaluation procedure were presented as the fuzzy triangular numbers. The proposed method is applied to the case study of evaluating the performance of PM software based on CPM and CCPM respectively for a car manufacturer. The result of evaluation not only assisted managers in choosing suitable software but also outline the trend in development of CCPM software. ©2010 IEEE.

关键词： Managers

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A hybrid multi-chromosome genetic algorithm for the cutting stock problem

A hybrid multi-chromosome genetic algorithm for the cutting ...

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International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII

作者： Jin, Peng Zhang, Shu Chu School of Management Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-making Hefei China

ISBN: (纸本)9780769542799

This paper presents a hybrid multi-chromosome genetic algorithm (HMCGA) to solve an in integer linear programming formulation of the Cutting Stock Problem (CSP). The CSP is an important class combinatorial problem. It is appropriate to minimize the raw material used by industries for fulfilling customer's demands. In such cases, classic models for solving the cutting stock problem are useless. HMCGA differ from previous application of genetic algorithm to CSP in that our coding contain tow chromosome, one represents the cutting pattern and another represents the frequencies of the cutting patterns in the first chromosome, rather than relying on a traditional genetic algorithm to decode each individual solution. Results obtained from computational experiments for ten benchmarks demonstrate that the performance of HMCGA is compared to that obtained using existing mete-heuristic algorithm. © 2010 IEEE.

关键词： Genetic algorithms

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Compression of OLAP cubes for aggregate queries based on Copula approach

Compression of OLAP cubes for aggregate queries based on Cop...

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International Conference on Business Intelligence and Financial Engineering

作者： Gao, Yazhuo Ni, Zhiwei Ni, Liping School of Management Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-making Hefei 230009 China

ISBN: (纸本)9780769541167

This paper introduces Copula approach, which has been widely used in statistical field, to the construction of OLAP cubes for the first time. Based on this approach, a novel scheme is proposed to compress data and answer any OLAP query without accessing raw data. The procedure of this scheme can be generally divided into three steps. Firstly, find the proper distribution functions to fit the marginal distribution of each attribute. Secondly, employ Copula approach to catch the intra relationship among attributes in a data set. Finally, use the probability density function of joint distribution to calculate the aggregation function. Empirical evidence shows that this Copula-based model can not only drastically reduce storage requirements but also save the query response time, while the accuracy is bounded under a given level. © 2010 IEEE.

关键词： Distribution functions

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A fast bidirectional method for mining maximal frequent itemsets

A fast bidirectional method for mining maximal frequent item...

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3rd International Joint Conference on Computational Sciences and optimization, CSO 2010: Theoretical Development and Engineering Practice

作者： Wang, Chao Ni, Zhi-Wei Guo, Jun-Fen Key Laboratory of Process Optimization and Intelligent Decision-making Hefei University of Technology Ministry of Education Heifei Hefei Anhui China

ISBN: (纸本)9780769540306

In this paper, a fast bidirectional method and an efficient data compression method for mining maximal frequent itemsets is proposed. A flexible search method is given, which exploits the advantages of bottom-up and up-bottom strategies. The compression technique use the Prime number characteristics to transform transaction data into a positive integer and can efficiently reduce the size of transaction database. This method can mine maximal frequent itemsets according to different user-defined mininum support with only one scan of original database. Theoretical and experimental analysis shows that the proposed method is scalable and efficient for mining maximal frequent itemsets. © 2010 IEEE.

关键词： Data compression

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