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.2007.4443493
Yuannian Li, Sifeng Liu, Zhigeng Fang
Rationality of index weight designing is one of the most important factors which relate to whether the result for one of multi-object evaluation problem is correct or not. However, weights got from the major objective weight methods at present are all excessively highlighted separating capacity of the index, but neglect the importance and contribution for the evaluated object. Because of these above, this paper proposes the concept of "standard object", and constructs a multi- goal program model based on the maximum entropy to design weights for indexes. During the construction process of this model, we put forwards one useful supposition and two definitions, construct an evaluation matrix and carry on "equivalent" processing to the matrix. This model not only concludes the separating capacity of the index, but also includes the importance and the contribution of it. So the evaluation result of this model is much more accurate. Finally, this model is applied to a real case, and the result demonstrates that the model is a good model for solving multi-object evaluation problems.
{"title":"Study on the weight of evaluation index based on the rule of maximum entropy","authors":"Yuannian Li, Sifeng Liu, Zhigeng Fang","doi":"10.1109/GSIS.2007.4443493","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443493","url":null,"abstract":"Rationality of index weight designing is one of the most important factors which relate to whether the result for one of multi-object evaluation problem is correct or not. However, weights got from the major objective weight methods at present are all excessively highlighted separating capacity of the index, but neglect the importance and contribution for the evaluated object. Because of these above, this paper proposes the concept of \"standard object\", and constructs a multi- goal program model based on the maximum entropy to design weights for indexes. During the construction process of this model, we put forwards one useful supposition and two definitions, construct an evaluation matrix and carry on \"equivalent\" processing to the matrix. This model not only concludes the separating capacity of the index, but also includes the importance and the contribution of it. So the evaluation result of this model is much more accurate. Finally, this model is applied to a real case, and the result demonstrates that the model is a good model for solving multi-object evaluation problems.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"36 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":"115040247","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.2007.4443242
T. Xue-rui, D. Julong, Liu Sifeng, Pan Hong-xing, C. Xiaojun
Using grey relational analysis (GRA) to analyze the grey relation between the cardiovascular medicine and fatality rate in hospitalized patients with acute coronary heart disease events in Beijing. A few valid data from the published results of the study "the fatality trends of acute coronary heart disease events in Beijing", which was a part of the National Key 75' Project, shared with WHO MONICA Project. GRA with order test of these data was performed. Positive grey relation was found between cardiovascular fatality rate and medicine including non-beta adrenoceptor blocker antiarrhythmics (NBAA), positive inotropic drugs (PID), calcium channel blockers (CCB). Negative grey relation between cardiovascular fatality rate and medicine including nitroglycerin (NG), antiplatelet agents (APT), beta-adrenoceptor blockers (BB) and ACEI was revealed. Grey relation between fatality rate and anticoagulants or thrombolytics was very weak. Cardiovascular fatality rate can be increased by CCB and NBAA, and decreased by NG, APT, BB and ACEI. GRA with order test is a more effective method in trial data.
{"title":"Polar grey relational analysis and its application in clinical trial","authors":"T. Xue-rui, D. Julong, Liu Sifeng, Pan Hong-xing, C. Xiaojun","doi":"10.1109/GSIS.2007.4443242","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443242","url":null,"abstract":"Using grey relational analysis (GRA) to analyze the grey relation between the cardiovascular medicine and fatality rate in hospitalized patients with acute coronary heart disease events in Beijing. A few valid data from the published results of the study \"the fatality trends of acute coronary heart disease events in Beijing\", which was a part of the National Key 75' Project, shared with WHO MONICA Project. GRA with order test of these data was performed. Positive grey relation was found between cardiovascular fatality rate and medicine including non-beta adrenoceptor blocker antiarrhythmics (NBAA), positive inotropic drugs (PID), calcium channel blockers (CCB). Negative grey relation between cardiovascular fatality rate and medicine including nitroglycerin (NG), antiplatelet agents (APT), beta-adrenoceptor blockers (BB) and ACEI was revealed. Grey relation between fatality rate and anticoagulants or thrombolytics was very weak. Cardiovascular fatality rate can be increased by CCB and NBAA, and decreased by NG, APT, BB and ACEI. GRA with order test is a more effective method in trial data.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"435 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":"115605504","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.2007.4443527
Kai-Zhou Gao, Z. Bao, Xiangqing Li, Dan Zhang
This paper studies on knowledge retrieval technology in product conceptual design. In this study, a two-layer retrieval technology is proposed. One is to get the similarities of function units through matching function attribute values which is weighted. The concepts of similarity vector are proposed for searching similar function units or module. Another, extended-rule and restriction matrix is proposed to depict the restrictions and constraints of problem-case and historic-cases. The similarity of restrictions between problem-case and historic-case is accounted by restriction matrix. A conceptual design knowledge retrieval framework is constructed to retrieve the design knowledge of the similar historic-case to problem-case. The framework comprises of requirement analysis, function decomposing, retrieving module of relation design knowledge and knowledge support module. Finally, an application instance for mobile telephone is shown to explain the process of knowledge support process based on case and integrated rule.
{"title":"Study on two-layer knowledge retrieval technology in conceptual design","authors":"Kai-Zhou Gao, Z. Bao, Xiangqing Li, Dan Zhang","doi":"10.1109/GSIS.2007.4443527","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443527","url":null,"abstract":"This paper studies on knowledge retrieval technology in product conceptual design. In this study, a two-layer retrieval technology is proposed. One is to get the similarities of function units through matching function attribute values which is weighted. The concepts of similarity vector are proposed for searching similar function units or module. Another, extended-rule and restriction matrix is proposed to depict the restrictions and constraints of problem-case and historic-cases. The similarity of restrictions between problem-case and historic-case is accounted by restriction matrix. A conceptual design knowledge retrieval framework is constructed to retrieve the design knowledge of the similar historic-case to problem-case. The framework comprises of requirement analysis, function decomposing, retrieving module of relation design knowledge and knowledge support module. Finally, an application instance for mobile telephone is shown to explain the process of knowledge support process based on case and integrated rule.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"31 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":"114805850","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.2007.4443448
Meijuan Gao, Jingwen Tian, Hao Zhou
An actual physical simulation model was constructed to simulate the course of water displacing oil Under certain physical property parameter conditions, we simulated the water injection well and the oil withdrawal well on the physical simulation model, and continuous measured online the oil and water content of different areas of physical simulation model in three-dimensional spaces using the 512 routes resistivity measuring circuit, then we can obtain large numbers of simulation samples. Considering the issues that the relationship between the remaining oil and every parameters of water displacing oil is complicated and nonlinear, the support vector machine (SVM) was used to establish the water displacing remaining oil model, in order to obtain the distributing situation of remaining oil in various complicated conditions. We proposed a self-adaptive parameter adjust iterative algorithm to confirm SVM parameters. The experimental results show that this method is feasible and effective.
{"title":"Research on modeling method of water displacing oil physical simulation based on support vector machine","authors":"Meijuan Gao, Jingwen Tian, Hao Zhou","doi":"10.1109/GSIS.2007.4443448","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443448","url":null,"abstract":"An actual physical simulation model was constructed to simulate the course of water displacing oil Under certain physical property parameter conditions, we simulated the water injection well and the oil withdrawal well on the physical simulation model, and continuous measured online the oil and water content of different areas of physical simulation model in three-dimensional spaces using the 512 routes resistivity measuring circuit, then we can obtain large numbers of simulation samples. Considering the issues that the relationship between the remaining oil and every parameters of water displacing oil is complicated and nonlinear, the support vector machine (SVM) was used to establish the water displacing remaining oil model, in order to obtain the distributing situation of remaining oil in various complicated conditions. We proposed a self-adaptive parameter adjust iterative algorithm to confirm SVM parameters. The experimental results show that this method is feasible and effective.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"42 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":"116214701","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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