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International Conference on Artificial Intelligence and Computational Intelligence (AICI)

作者： Zhangjun Wu Zhiwei Ni Chang Zhang Lichuan Gu Institute of Intelligent Management Hefei University of Technology China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education China

In this paper, we present a decision-making process that uses our proposed quasi-oppositional comprehensive learning particle swarm optimizers (QCLPSO) to solve multi-period portfolio problem. Multi-stage stochastic financial optimization takes order with portfolio in ever-changing financial markets by periodically rebalancing the asset portfolio to achieve return maximization and/or risk minimization. It brings together all major financial-related decision in a single consistent structure and integrates investment strategies, liability decisions and savings strategies in an all-around fashion. The objective function is classical return-variance function. The performance of our algorithm is demonstrated by optimizing the allocation of cash and various stocks in SSE 180 Index. Experiments are conducted to compare performance of the portfolio optimized by different objective functions with PSO and genetic algorithm (GA) in the terms of efficient frontiers.

关键词： Portfolios Stochastic processes Quantum cascade lasers Investments Asset management Risk management decision making Uncertainty Mathematical model Computational and artificial intelligence

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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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2011 International Conference on Computer Science and Service System, CSSS 2011

作者： Zhang, Dengzhou Gao, Yuanyuan Peng, Zhanglin School of Management Hefei University of Technology Hefei China Finance Department of 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)9781424497638

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. © 2011 IEEE.

关键词： Principal component analysis

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Using information entropy as weight determination approach in breast cancer case retrieval

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2011 International Conference on Advanced Materials and Information Technology processing(AMITP 2011)

作者： Dongxiao Gu Changyong Liang Wenen Chen Wenxing Lu Chunrong Zuo School of Management at Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-making of Ministry of Education of China Research Center of Intelligent Decision Making and Information System Technologies of Ministry of Education of China

ISBN: (纸本)9783037851555

Currently, the earlier detection, diagnosis and treatment to breast cancer still mainly depend on physicians' experience and knowledge. Case-Based Reasoning(CBR) mimics oncologists' real thinking process and therefore is appropriate to the diagnosis decision making. In CBR, weight derivation as a key step is commonly conducted by expert score approaches using Delphi method. The accuracy of case matching largely changes with the selection and experience of experts. In this paper, information entropy for weight determination is introduced into the CBR. We conduct experimental studies to compare the performance of Delphi method and information entropy. The results suggest that: generally, information entropy is a better approach to weight derivation.

关键词： weight determination,case matching,cased-based reasoning,breast cancer,information entropy,intelligent decision support,medical expert systems,knowledge-based systems

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Mining organizational structure from workflow logs

Mining organizational structure from workflow logs

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International Conference on e-Education, Entertainment and e-management (ICEEE)

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

关键词： Artificial neural networks

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Software project management based on dynamic programming algorithm

Software project management based on dynamic programming alg...

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International Conference on Information Sciences,Machinery,Materials and Energy（ICISMME 2015）

作者： Zhidong Li Xiaohuan Yu School of Management Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Nanjing University of Posts and Telecommunications

With the rapid development of computer technology,software engineering disciplines has developed rapidly not only in the aspect of theory,but is increasingly important in the practical application,and gradually formed methodologies,tools and management of three *** these three factors,the study of software project management is relatively backward,and even become a major obstacle in the development of software engineering ***,in view of software engineering discipline facing the problem,this paper proposed dynamic programming algorithm should be applied to software engineering management.

关键词： computer technology software engineering management dynamic programming

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Heuristics for uniform parallel machine scheduling problem with minimizing makespan

Heuristics for uniform parallel machine scheduling problem w...

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IEEE International Conference on Automation and Logistics

作者： Kai Li Shu-chu Zhang School of Management Hefei University of Technology Hefei China Ministry of Education Key Laboratory of Process Optimization and Intelligent Decision-making Hefei China

ISBN: (纸本)9781424425020

This paper considers the problem of uniform parallel machine scheduling with unequal release dates so as to minimize makespan. This problem is proved to an NP-hard problem. Heuristics in existence for the problem are analyzed, and then we present an improved algorithm. The performance of the algorithms by experiment is also analyzed. The heuristic is further extended by applying the method of variable neighborhood search, which is used for improving the quality of the solutions obtained by the original heuristics.

关键词： Schedules Heuristic algorithms Parallel machines Magnetic heads Algorithm design and analysis Approximation algorithms Scheduling

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Extension CBR Retrieval

Extension CBR Retrieval

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International Conference on Artificial Intelligence and Computational Intelligence (AICI)

作者： Zhiwei Ni Dan Han Gongrang Zhang Yazhuo Gao School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

When the case information is described in natural language and not complete, to deal with problems of case retrieval in Case-Based Reasoning (CBR), Extension theory is introduced to aid it. Firstly, the case index is created based on the Extension model. Secondly, the main characteristics of the case are formalized to store in the case base to realize the data compression. Finally, case retrieval algorithm is designed. The basic and the advanced retrieve strategy supplement each other. This algorithm lowers the request of the professional level and improves the efficiency of retrieval. The approach is of practical significance in problem solving, such as auto fault diagnosis.

关键词： Information retrieval Artificial intelligence Problem-solving Fault diagnosis Competitive intelligence Data compression Algorithm design and analysis intelligent systems Mathematics Computational intelligence

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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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The construction of performance management system based on balanced scorecard

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

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2011 International Conference on Computer Science and Service System, CSSS 2011

作者： Zhang, Dengzhou Peng, Zhanglin Gao, Yuanyuan School of Management Hefei University of Technology Hefei China Finance Department of 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 Hefei China

ISBN: (纸本)9781424497638

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. © 2011 IEEE.

关键词： Companies Finance Marketing and sales Military communication Qualifications balanced scorecard performance indicator performance management strategy management

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Multi Agent Negotiation Model for Distributed Task Allocation

Multi Agent Negotiation Model for Distributed Task Allocatio...

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2010 2nd IEEE International Conference on Information management and Engineering(2010年IEEE第二届信息管理与工程国际会议 IEEE ICIME 2010)

作者： He Luo Xiao-jian Hu Xiao-xuan Hu School of ManagementHefei University of TechnologyHefei China Key Laboratory of the Ministry of Education on ProcessOptimization & Intelligent Decision MakingHefe Key Laboratory of the Ministry of Education on Process Optimization & Intelligent Decision Making He

In the multi agent system, negotiation between different agents becomes more and more complex when the distributed tasks need to be allocated among them. Usually, this process has been done in the centralized way where agents have all the information of both the tasks and the environment. However, in the real application such as satellite scheduling problem or production scheduling problem, not all the information can be acquired, some of them even cannot be known. Therefore, in this paper, we propose a multi agent negotiation model for distributed task allocation in a priority based environment. This process is modeled as a finite Markov decision process (FMDP), and a coordinated negotiation protocol is also suggested to support the model. The experiments show that tasks are allocated in an efficient way, and it can also reduce the communication cost.

关键词： Multi-Agent task allocation negotiation markov decision process

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