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International Conference on Networking and Digital Society, ICNDS

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

ISBN: (纸本)9781424451623;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.

关键词： Project management Automobiles Research and development Research and development management Software development management decision making Computer industry Software performance Application software Job shop scheduling

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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, BIFE

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

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.

关键词： Data models Aggregates Joints Mathematical model Distribution functions Equations Computational modeling

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A hybrid ant colony algorithm for the Cutting Stock Problem

A hybrid ant colony algorithm for the Cutting Stock Problem

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International Seminar on Future Information Technology and Management Engineering, FITME

作者： Jin Peng Zhang Shu Chu School of Management Key Laboratory Process Optimization and Intelligent Decision-Making Ministry of Education Hefei University of Technology Hefei Anhui China

ISBN: (纸本)9781424490875

This study presents a new hybrid ant colony algorithm (HACO) 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. HACO consists of GDCP procedure and modified ACO (MACO). GDCP procedure provides dominative cutting patterns as MACO solution components, in MACO the pheromone trail is put on cutting patterns instead of items. MACO preserves cutting patterns and frequencies information under ants building solution procedure. Results obtained from computational experiments for ten benchmarks demonstrate that the performance of MACO is compared to that obtained using existing mete-heuristic algorithm.

关键词： Optimized production technology Bismuth Benchmark testing

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Evaluation of R&D projects with uncertainty based on evidence reasoning

Evaluation of R&D projects with uncertainty based on evidenc...

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International Conference on Logistics Systems and intelligent Management (ICLSIM)

作者： Ying Yang Bengong Yu Lei Fu Haojie Shen Key Laboratory of Process Optimization & Intelligent Decision-making of Ministry of Education School of Management Hefei University of Technology Hefei China Chery Automobile Company Limited Wuhu China

This paper presents an assessment model for research and development (R&D) projects considering uncertainty in their overall life cycle. Technology maturity and competitive advantages were considered and a Balanced Scorecard (BSC) model was developed to evaluate R&D projects. Based on the multilevel evaluation framework, an evidence reasoning approach has been developed to aggregate the numerical data and qualitative information with uncertainty. The expected utility is applied to describe preferences of decision-makers in the decision process. A case study in the context of automobile R&D projects is given to illustrate the methods.

关键词： Uncertainty Research and development Automobiles Aggregates Data envelopment analysis Laboratories decision making Technology management Educational technology Electronic mail

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A Novel PSO for Multi-stage Portfolio Planning

A Novel PSO for Multi-stage Portfolio Planning

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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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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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Research on consumers' cross-site transfer behavior based on complexnetwork theory

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ICIC Express Letters 2009年第4期3卷 1359-1364页

作者： Liu, Yezheng Zhang, Jiekui Yang, Shanlin School of Management Ministry of Education 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

Consumers' online information seeking process consists of two alternatelyjoining behaviors: intra-site visit and cross-site transfer. Current studiesmainly focused on the intra-site visit behavior while cross-site transferbehavior is little concerned. In this paper consumers' cross-site transferbehavior with specific information seeking task is studied for the first time,we collected client-side logs during consumers' online information seekingprocess under experimental circumstances, represented the logs as a cross-sitetransfer network and analyzed the cross-site transfer behavior based on complexnetwork theory. Main conclusions include: the cross-site transfer network hassome topological characteristics different from common networks;a largeproportion of transfer behaviors are carried out between different websitecategories;the proportion of transfers within the same website category isrelatively low as a whole, but transfers within different website categories arevery different;the transfers between websites have high degree of *** conclusions may help websites establish strategy alliance *** International © 2009.

关键词： Websites

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Utility analysis of belief in evidence theory

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Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice 2008年第3期28卷 103-110页

作者： Liu, Ye-Zheng Jiang, Yuan-Chun Zhang, Jie-Kui Key Laboratory of Process Optimization and Intelligent Decision-Making School of Management Hefei University of Technology Hefei 230009 China

This paper proposes, for the first time, a new issue called utility paradox which can not be solved effectively by the existing methods in evidence theory. A utility analysis method considering the subjective preference of decision maker is presented to solve the utility paradox problem. First, the degrees of belief given by experts are transformed into the utility beliefs of decision makers by a utility-belief function. The utility beliefs determine decision makers' action. Second, the rule of combination in evidence theory is employed to combine the utility beliefs. This paper gives the properties the utility-belief function should have, then a specific function is given and its validation is proved. Experiment shows the method is valid to solve the utility paradox problem.

关键词： decision making

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Research on supply chain coordination with the consideration of pricing and transportation cost

Research on supply chain coordination with the consideration...

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IEEE International Conference on Automation and Logistics

作者： Gui-qing Liu Fen-hui Zhang School of Managemen Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

ISBN: (纸本)9781424425020

This paper considers how to design coordination strategies to achieve the coordination in decentralized supply chain, considering pricing, inventory and transportation cost simultaneously under the price sensitive environment. Based on a supplier-Stackelberg game structure, we analyze the non-cooperation decision model and design the algorithm. Then we propose the cooperation decision model and design the algorithm. Revenue sharing and price discount strategies are used to coordinate the decentralized supply chain. The experimental results show that both revenue sharing and price discount strategy can efficiently make the coordination of the supplier and the retailer.

关键词： Supply chains Transportation Pricing Vehicles Games Analytical models Production

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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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