Pub Date : 2007-11-01DOI: 10.1109/GSIS.2007.4443549
Zhao Ru, Weiran Xu, Jun Guo
Automatically finding experts is a critical need for distributed organizations managing employees' knowledge. This paper presents an approach that models a probabilistic cascading framework to find relevant experts in enterprise corpora. We employ a qualification of experience that is validated as a measure of expertise. A language model for each experience measure is estimated with topical words. Then for each candidate's expertise, a language model is estimated with its associated measures. Cascading of these models, we can capture how the expertise is relevant to a topical query. Our evaluation on TREC Enterprise corpora shows that this is an effective approach for expert finding. Moreover, its performance could be further improved by clustering of relevant experience measures.
{"title":"Automatically finding experts in large organizations","authors":"Zhao Ru, Weiran Xu, Jun Guo","doi":"10.1109/GSIS.2007.4443549","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443549","url":null,"abstract":"Automatically finding experts is a critical need for distributed organizations managing employees' knowledge. This paper presents an approach that models a probabilistic cascading framework to find relevant experts in enterprise corpora. We employ a qualification of experience that is validated as a measure of expertise. A language model for each experience measure is estimated with topical words. Then for each candidate's expertise, a language model is estimated with its associated measures. Cascading of these models, we can capture how the expertise is relevant to a topical query. Our evaluation on TREC Enterprise corpora shows that this is an effective approach for expert finding. Moreover, its performance could be further improved by clustering of relevant experience measures.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133439210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-11-01DOI: 10.1109/GSIS.2007.4443548
Lu Xiaoping, Zhang Libo, Ding Zhu, Yang Jie
Arms apportionment programming is a NP-hard problem. Detailed mathematical models for regional air-defense arms optimal apportionment are established. A novel algorithm named MAHOS (multi-agent hybrid optimization strategy) is proposed in order to solve this problem efficiently. The MAHOS introduces competition-cooperation, self-learning and simulated annealing mechanism into behaviors of particle agents, which improve the convergence rate and optimization precision of the algorithm. Simulation experiments of the problem are made at different scales. The results show that MAHOS is very efficient and effective in obtaining near optimal solutions to the air-defense arms optimal apportionment problems, especially when the scale of problems is very large. The MAHOS can offer a scientific and effective support for a decision maker in command automation of the air-defense combat.
{"title":"A hybrid strategy based on multi-agent PSO for arms Optimal apportionment of regional air-defense","authors":"Lu Xiaoping, Zhang Libo, Ding Zhu, Yang Jie","doi":"10.1109/GSIS.2007.4443548","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443548","url":null,"abstract":"Arms apportionment programming is a NP-hard problem. Detailed mathematical models for regional air-defense arms optimal apportionment are established. A novel algorithm named MAHOS (multi-agent hybrid optimization strategy) is proposed in order to solve this problem efficiently. The MAHOS introduces competition-cooperation, self-learning and simulated annealing mechanism into behaviors of particle agents, which improve the convergence rate and optimization precision of the algorithm. Simulation experiments of the problem are made at different scales. The results show that MAHOS is very efficient and effective in obtaining near optimal solutions to the air-defense arms optimal apportionment problems, especially when the scale of problems is very large. The MAHOS can offer a scientific and effective support for a decision maker in command automation of the air-defense combat.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"211 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134028822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-11-01DOI: 10.1109/GSIS.2007.4443388
Hou Jing, Zhao Lindu
The selection of logistics service mode is a strategic decision-making for the development of logistics; complicated circumstances require that the service mode can meet not only the needs of markets, but also the emergency outside. The purpose of this paper is to present what we believe is a useful way to select the optimal logistics service mode assuming there are two possible statuses of the environment-normal status and emergency status. Based on the analysis of logistics service demand and logistics service capability, and by choosing the significant evaluating criteria, a decision-tree model was presented and solved using grey multi-criteria risk decision-making and grey fuzzy relationship method. Finally, simulation results of the model are given. Our methodology will help logistics service providers as well as academics that are considering such issues.
{"title":"Logistics service mode selection based on decision-tree model and grey multi-criteria risk decision-making method","authors":"Hou Jing, Zhao Lindu","doi":"10.1109/GSIS.2007.4443388","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443388","url":null,"abstract":"The selection of logistics service mode is a strategic decision-making for the development of logistics; complicated circumstances require that the service mode can meet not only the needs of markets, but also the emergency outside. The purpose of this paper is to present what we believe is a useful way to select the optimal logistics service mode assuming there are two possible statuses of the environment-normal status and emergency status. Based on the analysis of logistics service demand and logistics service capability, and by choosing the significant evaluating criteria, a decision-tree model was presented and solved using grey multi-criteria risk decision-making and grey fuzzy relationship method. Finally, simulation results of the model are given. Our methodology will help logistics service providers as well as academics that are considering such issues.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134041838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-11-01DOI: 10.1109/GSIS.2007.4443299
Yanfeng Chu, Sifeng Liu
It is very important to predict Chinese logistics scale in 10 years for drawing up the macroscopic economic policy and promoting economic development. With the grey system model GM( 1, 1), predicting Chinese logistics scale in 10 years can reflect the development scale of logistics in the future and can offer decision base on planning a national logistics industry and making logistics policy according to the last ten years data of freight transportation quantities.
{"title":"Predicting Chinese logistics scale in 10 years with model GM(1,1)","authors":"Yanfeng Chu, Sifeng Liu","doi":"10.1109/GSIS.2007.4443299","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443299","url":null,"abstract":"It is very important to predict Chinese logistics scale in 10 years for drawing up the macroscopic economic policy and promoting economic development. With the grey system model GM( 1, 1), predicting Chinese logistics scale in 10 years can reflect the development scale of logistics in the future and can offer decision base on planning a national logistics industry and making logistics policy according to the last ten years data of freight transportation quantities.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134372180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
One category chain model of evolutionary game is proposed to study the process of some economic conditions. It could be used to describe some real life conditions that the income of some one is in strong correlation with the stage at that time he makes decision, and also condition that decision maker is with bounded rationality and limited knowledge. This paper discusses its evolutionary stable strategy (ESS), and some important conclusions are found, that in some situation ESS could be gotten directly, but in another condition ESS could not be worked out and it will be sensitive to initial condition. On the basis of these, this model is used to explain an alliance of Third-Party Logistics(TPL, or 3PL), and a valuable conclusion is gotten and in some situation an alliance of Third-Party Logistics could be created by some ways.
{"title":"Study on the third-party logistics by symmetric evolutionary game under strong correlation between individual pay-off and evolution stage","authors":"Xiaoyan Pang, Qingmei Tan, Ruan Aiqing, Xie Chunxun","doi":"10.1109/GSIS.2007.4443473","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443473","url":null,"abstract":"One category chain model of evolutionary game is proposed to study the process of some economic conditions. It could be used to describe some real life conditions that the income of some one is in strong correlation with the stage at that time he makes decision, and also condition that decision maker is with bounded rationality and limited knowledge. This paper discusses its evolutionary stable strategy (ESS), and some important conclusions are found, that in some situation ESS could be gotten directly, but in another condition ESS could not be worked out and it will be sensitive to initial condition. On the basis of these, this model is used to explain an alliance of Third-Party Logistics(TPL, or 3PL), and a valuable conclusion is gotten and in some situation an alliance of Third-Party Logistics could be created by some ways.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134599909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-11-01DOI: 10.1109/GSIS.2007.4443332
Wu Xin, Fang Zhi-geng, Shi Hong-xing
With the theory of physics and chemistry, the author constructs a calculating model of productivity which takes production factors as system input and GDP as output. The article puts forward the model about the relationship of productivity, input factors and GDP, and productive forces are activators which transmit all the production factors into GDP. With the calculating model, the article calculates the productivities of world main representative countries such as China, America, France, Germany, Japan, Korea and Thailand from 1971 to 2004. And then the author calculates the fluctuating period of productivity ahead of GDP in these countries with a Time-lag-existing GM(1,2) Model. Through the result, we can find that nearly in all countries GDP are lag productive forces for some cycle which indicates the fact that productive forces drive.
{"title":"The research of time lag effect of productivity and GDPbased on GM(1,2) model","authors":"Wu Xin, Fang Zhi-geng, Shi Hong-xing","doi":"10.1109/GSIS.2007.4443332","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443332","url":null,"abstract":"With the theory of physics and chemistry, the author constructs a calculating model of productivity which takes production factors as system input and GDP as output. The article puts forward the model about the relationship of productivity, input factors and GDP, and productive forces are activators which transmit all the production factors into GDP. With the calculating model, the article calculates the productivities of world main representative countries such as China, America, France, Germany, Japan, Korea and Thailand from 1971 to 2004. And then the author calculates the fluctuating period of productivity ahead of GDP in these countries with a Time-lag-existing GM(1,2) Model. Through the result, we can find that nearly in all countries GDP are lag productive forces for some cycle which indicates the fact that productive forces drive.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130296056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-11-01DOI: 10.1109/GSIS.2007.4443418
Li Jinying, Li Jinchao
Effective environmental management includes not only the formulation of policies, but also the implement of policies. To improve the efficiency of the implementation of environmental policies, dynamic supervision is necessary. But the environmental monitoring analysis with game theory always has a complicated complete process, and it is often difficult to compute result from the model. In this paper, gray fuzzy control theory is applied in environmental management. Through gray forecasting of discharge status and analysis of recent discharge change, supervisors decide their dynamic environment supervision track. The results of the sample analysis show that the method and the model are practical.
{"title":"Study on dynamic environmental supervision based on gray fuzzy control","authors":"Li Jinying, Li Jinchao","doi":"10.1109/GSIS.2007.4443418","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443418","url":null,"abstract":"Effective environmental management includes not only the formulation of policies, but also the implement of policies. To improve the efficiency of the implementation of environmental policies, dynamic supervision is necessary. But the environmental monitoring analysis with game theory always has a complicated complete process, and it is often difficult to compute result from the model. In this paper, gray fuzzy control theory is applied in environmental management. Through gray forecasting of discharge status and analysis of recent discharge change, supervisors decide their dynamic environment supervision track. The results of the sample analysis show that the method and the model are practical.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"406 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122928449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-11-01DOI: 10.1109/GSIS.2007.4443362
Xiping Wang
The traditional Grey model has been widely used in various forecasting systems, including electricity demand forecasting. However, it is reported that the accuracy of the model is not satisfactory. In this paper, Grey prediction with rolling mechanism (GPRM) approach is proposed to predict the total and industrial electricity consumption of Shanghai. GPRM is used because of high prediction accuracy, applicability in the case of limited data situations and requirement for little computational effort. Results show that the forecasting precision of GPRM for total and industrial electricity demand is improved. And future projections have also been done for total and industrial sector, respectively.
{"title":"Grey prediction with rolling mechanism for electricity demand forecasting of Shanghai","authors":"Xiping Wang","doi":"10.1109/GSIS.2007.4443362","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443362","url":null,"abstract":"The traditional Grey model has been widely used in various forecasting systems, including electricity demand forecasting. However, it is reported that the accuracy of the model is not satisfactory. In this paper, Grey prediction with rolling mechanism (GPRM) approach is proposed to predict the total and industrial electricity consumption of Shanghai. GPRM is used because of high prediction accuracy, applicability in the case of limited data situations and requirement for little computational effort. Results show that the forecasting precision of GPRM for total and industrial electricity demand is improved. And future projections have also been done for total and industrial sector, respectively.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123103658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-11-01DOI: 10.1109/GSIS.2007.4443477
Lanfang Yang, Zhigeng Fang, Hongxing Shi
The most fatal flaw of the classical Cournot oligopoly model as well as the related oligopoly output-making competition model is the supposition on the purpose of game players. It is thought that the only game goal is to make the maximum present profits. Based on this supposition, most game model structures are optimal structures. In this paper, some new suppositions of duopoly game are established, including the game goal supposition, the time-order supposition and bounded rationality and knowledge supposition. And a description game structure model which has strong universality to the realistic decision-making situations is also constructed. Based on this model, the damping equilibrium of the first decision-maker and the concepts of the damping loss and the total damping cost when the first decision-maker completely seizes the whole market have been put forward. At last, simulation examples for some important propositions and algorithms are given.
{"title":"Study on the damping loss and the damping cost of duopoly strategy output-making damping equilibrium","authors":"Lanfang Yang, Zhigeng Fang, Hongxing Shi","doi":"10.1109/GSIS.2007.4443477","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443477","url":null,"abstract":"The most fatal flaw of the classical Cournot oligopoly model as well as the related oligopoly output-making competition model is the supposition on the purpose of game players. It is thought that the only game goal is to make the maximum present profits. Based on this supposition, most game model structures are optimal structures. In this paper, some new suppositions of duopoly game are established, including the game goal supposition, the time-order supposition and bounded rationality and knowledge supposition. And a description game structure model which has strong universality to the realistic decision-making situations is also constructed. Based on this model, the damping equilibrium of the first decision-maker and the concepts of the damping loss and the total damping cost when the first decision-maker completely seizes the whole market have been put forward. At last, simulation examples for some important propositions and algorithms are given.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129997786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-11-01DOI: 10.1109/GSIS.2007.4443551
Wang Tao, Zhi-Geng Fang, Wu Hui, Lin-li Wu
The construction of disciplines is a fundamental construction of universities and colleges and so it is the most important work of reform and development of higher learning institutions. The management of disciplinary project links up the individual disciplinary pattern and the platform-base pattern as one disciplinary constructive pattern which is at first applied to "211 project". In this paper, we first proposed four presuppositions for knowledge flows and innovation to form networks, and established models based on these presuppositions. Through the digital simulation we discover the stochastic degree of networks, the innovative coefficient of characteristic and superiority disciplines as number of disciplines at the right time having an important influence on the flows and growth of knowledge.
{"title":"Study on knowledge flows of disciplinary construction and innovative strategy based on the complex networks","authors":"Wang Tao, Zhi-Geng Fang, Wu Hui, Lin-li Wu","doi":"10.1109/GSIS.2007.4443551","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443551","url":null,"abstract":"The construction of disciplines is a fundamental construction of universities and colleges and so it is the most important work of reform and development of higher learning institutions. The management of disciplinary project links up the individual disciplinary pattern and the platform-base pattern as one disciplinary constructive pattern which is at first applied to \"211 project\". In this paper, we first proposed four presuppositions for knowledge flows and innovation to form networks, and established models based on these presuppositions. Through the digital simulation we discover the stochastic degree of networks, the innovative coefficient of characteristic and superiority disciplines as number of disciplines at the right time having an important influence on the flows and growth of knowledge.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134351718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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