In this paper, we introduce notions of fuzzy delta-I-open Sets and fuzzy delta-I-continuous functions in fuzzy ideal topological spaces and investigate some of their properties. Additionally, we obtain a decomposition of fuzzy semi-I-continuous functions and alpha-I-Continuous functions by using fuzzy delta-I-continuous functions.
{"title":"On Fuzzy delta-I-open Sets and a Decomposition of Fuzzy alpha-I-Continuity","authors":"Bin Chen, Nan Jiang","doi":"10.1109/ISME.2010.101","DOIUrl":"https://doi.org/10.1109/ISME.2010.101","url":null,"abstract":"In this paper, we introduce notions of fuzzy delta-I-open Sets and fuzzy delta-I-continuous functions in fuzzy ideal topological spaces and investigate some of their properties. Additionally, we obtain a decomposition of fuzzy semi-I-continuous functions and alpha-I-Continuous functions by using fuzzy delta-I-continuous functions.","PeriodicalId":348878,"journal":{"name":"2010 International Conference of Information Science and Management Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115297490","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}
In the networked manufacturing environment, how to monitor dynamic and variable quality fluctuation, diagnose the abnormal variation in real-time and adjust the process at the right moment, becomes a difficult problem for the modern networked manufacturing enterprise in process quality control. In order to overcome this difficulty, This paper presents an intelligent process quality control mode oriented to networked manufacturing by combining statistical process control (SPC), and artificial intelligent (AI) for quality prevention, online statistical analysis, intelligent diagnosis and adjustment, and corresponding functional modules and framework is put forward. Finally, the prototype system of intelligent process quality control is developed to demonstrate the rationality and validity of the method. This work confirms the potential synergies of hybrid AI techniques for realizing networking, intelligent and automatic process quality control.
{"title":"Research on Intelligent Process Quality Control System under Network Environment","authors":"Jun Guo, Shunsheng Guo, Xiaobing Yu","doi":"10.1109/ISME.2010.29","DOIUrl":"https://doi.org/10.1109/ISME.2010.29","url":null,"abstract":"In the networked manufacturing environment, how to monitor dynamic and variable quality fluctuation, diagnose the abnormal variation in real-time and adjust the process at the right moment, becomes a difficult problem for the modern networked manufacturing enterprise in process quality control. In order to overcome this difficulty, This paper presents an intelligent process quality control mode oriented to networked manufacturing by combining statistical process control (SPC), and artificial intelligent (AI) for quality prevention, online statistical analysis, intelligent diagnosis and adjustment, and corresponding functional modules and framework is put forward. Finally, the prototype system of intelligent process quality control is developed to demonstrate the rationality and validity of the method. This work confirms the potential synergies of hybrid AI techniques for realizing networking, intelligent and automatic process quality control.","PeriodicalId":348878,"journal":{"name":"2010 International Conference of Information Science and Management Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123082629","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}
CMM for service (CMMI-SVC) is based on the “CMMI Model Foundation” and incorporates work by several service organizations to adapt CMMI for use in the service industry Identifying risk management improvement from ERP II implementation capability level provides a basis for systematically examining changing situations over stages to uncover circumstances that impact the ability of ERPII project to meet its objectives. A successful ERP II project involves the balance of risk acceptance and performance goal. This paper describes the development of capability maturity model for risk management in ERPII implementation project (CMM-RM for ERP II), outlining the key improvement stages of risk management capabilities in ERPII implementation project. CMM for risk management in ERPII provides an overall risk profile for ERP II vendors, ERPII consultant companies, ERPII application enterprises.
服务CMM (CMMI- svc)基于“CMMI模型基础”，并结合了几个服务组织的工作，使CMMI适用于服务行业。从ERPII实施能力层面识别风险管理改进，为系统地检查各个阶段的变化情况提供了基础，从而揭示影响ERPII项目实现其目标的能力的环境。一个成功的ERP II项目包括风险接受和绩效目标的平衡。本文介绍了ERPII实施项目风险管理能力成熟度模型(CMM-RM for ERPII)的发展，概述了ERPII实施项目风险管理能力提升的关键阶段。ERPII风险管理的CMM为ERPII供应商、ERPII咨询公司、ERPII应用企业提供了一个全面的风险概况。
{"title":"Adapting Service-CMM to Risk Management Improvement in ERP II Project","authors":"Wang Huifen","doi":"10.1109/ISME.2010.273","DOIUrl":"https://doi.org/10.1109/ISME.2010.273","url":null,"abstract":"CMM for service (CMMI-SVC) is based on the “CMMI Model Foundation” and incorporates work by several service organizations to adapt CMMI for use in the service industry Identifying risk management improvement from ERP II implementation capability level provides a basis for systematically examining changing situations over stages to uncover circumstances that impact the ability of ERPII project to meet its objectives. A successful ERP II project involves the balance of risk acceptance and performance goal. This paper describes the development of capability maturity model for risk management in ERPII implementation project (CMM-RM for ERP II), outlining the key improvement stages of risk management capabilities in ERPII implementation project. CMM for risk management in ERPII provides an overall risk profile for ERP II vendors, ERPII consultant companies, ERPII application enterprises.","PeriodicalId":348878,"journal":{"name":"2010 International Conference of Information Science and Management Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127333552","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}
Textile and garment trade occupys an important position in our country. Article started from the amount of textile and garment exports using China's textile and garment export trade data, from 1992 to 2008. Based on the use of Holt model to predict the export in different stages. Result shows that the Holt model has a high prediction accuracy for predicting textile and garment exports. And predicted 2009 and 2010 exports, wishing to contribute to provide a series of adjustments of policies, strategies depending on the forecast for the relevant departments.
{"title":"Forecast to Textile and Garment Exports Based on Holt Model","authors":"Li Xia, Guo Yaomei, Song Weiwei","doi":"10.1109/ISME.2010.44","DOIUrl":"https://doi.org/10.1109/ISME.2010.44","url":null,"abstract":"Textile and garment trade occupys an important position in our country. Article started from the amount of textile and garment exports using China's textile and garment export trade data, from 1992 to 2008. Based on the use of Holt model to predict the export in different stages. Result shows that the Holt model has a high prediction accuracy for predicting textile and garment exports. And predicted 2009 and 2010 exports, wishing to contribute to provide a series of adjustments of policies, strategies depending on the forecast for the relevant departments.","PeriodicalId":348878,"journal":{"name":"2010 International Conference of Information Science and Management Engineering","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127351651","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}
Definition of the evaluation for support concept of the winged missile was analyzed. And aiming at the characteristic of the forepart evaluation, the index system of the forepart evaluation was established. 3-D meaning of subordinative degree and expression of Euclidean distance on Vague sets were described, and a new decision method based on similarity measures between Vague sets was proposed. During the forepart evaluation for support concept, the larger the value of similarity measures is, the closer the degree between alternative concept and desired concept is. Finally, feasibility and rationality of similarity measures of Vague sets in the forepart evaluation for support concept of the winged missile is demonstrated through an illustration.
{"title":"Research on Forepart Evaluation for Support Concept of the Winged Missile Based on Vague Sets","authors":"Renold Yu, Ting-xue Xu","doi":"10.1109/ISME.2010.69","DOIUrl":"https://doi.org/10.1109/ISME.2010.69","url":null,"abstract":"Definition of the evaluation for support concept of the winged missile was analyzed. And aiming at the characteristic of the forepart evaluation, the index system of the forepart evaluation was established. 3-D meaning of subordinative degree and expression of Euclidean distance on Vague sets were described, and a new decision method based on similarity measures between Vague sets was proposed. During the forepart evaluation for support concept, the larger the value of similarity measures is, the closer the degree between alternative concept and desired concept is. Finally, feasibility and rationality of similarity measures of Vague sets in the forepart evaluation for support concept of the winged missile is demonstrated through an illustration.","PeriodicalId":348878,"journal":{"name":"2010 International Conference of Information Science and Management Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124977396","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}
In supply chain management process, information Collaboration is thus recognized as a basic process that holds the value creation opportunity which can drive effective supply chain management Thus, Information collaboration partner selection is an important issue and with the multiple criteria decision making approach. This paper is aimed to present an Intuitionistic Fuzzy set group decision-making methods to solve this problem. The opinion of experts and the weight of each criteria are all expressed with Intuitionistic Fuzzy set. We set up the index of Information collaboration partner selection and calculated with a example to identify the efficiency of this methods.
{"title":"Intuitionistic Fuzzy Group Decision Making for Supply Chain Information Collaboration Partner Selection","authors":"Lei Wen, Xiaojuan Zhang","doi":"10.1109/ISME.2010.258","DOIUrl":"https://doi.org/10.1109/ISME.2010.258","url":null,"abstract":"In supply chain management process, information Collaboration is thus recognized as a basic process that holds the value creation opportunity which can drive effective supply chain management Thus, Information collaboration partner selection is an important issue and with the multiple criteria decision making approach. This paper is aimed to present an Intuitionistic Fuzzy set group decision-making methods to solve this problem. The opinion of experts and the weight of each criteria are all expressed with Intuitionistic Fuzzy set. We set up the index of Information collaboration partner selection and calculated with a example to identify the efficiency of this methods.","PeriodicalId":348878,"journal":{"name":"2010 International Conference of Information Science and Management Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125918267","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}
This paper analyzed the importance that the vicarious management corporation (VMC) carried out the knowledge management in its work, discussed the contents of the knowledge management of the VMC, and obtained the knowledge management model. In order to better knowledge management work, the paper put forward a thought establishing the knowledge management system of the VMC which included six parts: knowledge management organization, knowledge management culture, knowledge management rules and regulations, knowledge management organization motivation, information platform for knowledge management and performance evaluation for knowledge management. The paper probed into every part in-depth, and drew a conclusion finally that the VMC need to build the virtual-learning knowledge management organization, develop the learning organization culture, stipulate for the sound knowledge management rules and regulations, pay attention to carry out the incentive of spirit and competition within the organization, build efficient information platform for knowledge management, and constantly improve the level of knowledge management through the performance evaluation for knowledge management.
{"title":"Research on the Knowledge Management System of the Vicarious Management Corporation","authors":"Guodong Ni, Wen-shun Wang, Jianping Wang, Zhifang Zong, Meng Xie","doi":"10.1109/ISME.2010.128","DOIUrl":"https://doi.org/10.1109/ISME.2010.128","url":null,"abstract":"This paper analyzed the importance that the vicarious management corporation (VMC) carried out the knowledge management in its work, discussed the contents of the knowledge management of the VMC, and obtained the knowledge management model. In order to better knowledge management work, the paper put forward a thought establishing the knowledge management system of the VMC which included six parts: knowledge management organization, knowledge management culture, knowledge management rules and regulations, knowledge management organization motivation, information platform for knowledge management and performance evaluation for knowledge management. The paper probed into every part in-depth, and drew a conclusion finally that the VMC need to build the virtual-learning knowledge management organization, develop the learning organization culture, stipulate for the sound knowledge management rules and regulations, pay attention to carry out the incentive of spirit and competition within the organization, build efficient information platform for knowledge management, and constantly improve the level of knowledge management through the performance evaluation for knowledge management.","PeriodicalId":348878,"journal":{"name":"2010 International Conference of Information Science and Management Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128447366","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}
Aiming at the challenging issue of target recognition (TR) in uncertain environment, a soft evidence inference in dynamic Bayesian networks is presented, which not only enriches Bayesian networks theoretically but also offers more flexible and robust target recognition system by exploiting the complementary of other target attributes. The architecture of the target recognition system is designed and an algorithm for TR utilizing soft evidences inferring in dynamic Bayesian network is also advanced. Experimental results illustrate that the proposed TR approach is robust by synthesizing different target characters and amending each other with respect to different time-slices. Moreover, this method can meet the real-time requirement by deriving belief even when some target attributes data are not accessible temporarily.
{"title":"A Novel Target Recognition System in Uncertain Environment","authors":"Yongyan Hou, Wenqiang Guo","doi":"10.1109/ISME.2010.196","DOIUrl":"https://doi.org/10.1109/ISME.2010.196","url":null,"abstract":"Aiming at the challenging issue of target recognition (TR) in uncertain environment, a soft evidence inference in dynamic Bayesian networks is presented, which not only enriches Bayesian networks theoretically but also offers more flexible and robust target recognition system by exploiting the complementary of other target attributes. The architecture of the target recognition system is designed and an algorithm for TR utilizing soft evidences inferring in dynamic Bayesian network is also advanced. Experimental results illustrate that the proposed TR approach is robust by synthesizing different target characters and amending each other with respect to different time-slices. Moreover, this method can meet the real-time requirement by deriving belief even when some target attributes data are not accessible temporarily.","PeriodicalId":348878,"journal":{"name":"2010 International Conference of Information Science and Management Engineering","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128758549","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}
With the development of personalized recommendation systems, the research of collaborative filtering reached a bottleneck. Neither algorithm accuracy nor computational complexity can be improved significantly. In this paper, we present our statistics and analysis on some recognized datasets. The analysis shows that the real rating features of the users cannot follow even distribution while most current algorithms were based on this premise. Therefore we proposed a new user-based collaborative filtering algorithm combining data-distribution. Since different users have different rating ranges, the key method of the algorithm is the special revise of user preference according to the distribution of the ratings. Our algorithm is comparable in computational complexity to SLOPE ONE algorithm and more accurate on the sparse data. We believe that it is a hopeful new direction for the development of collaborative filtering, which reflects the highlight of this paper.
{"title":"A New User-Based Collaborative Filtering Algorithm Combining Data-Distribution","authors":"Zilei Sun, N. Luo","doi":"10.1109/ISME.2010.48","DOIUrl":"https://doi.org/10.1109/ISME.2010.48","url":null,"abstract":"With the development of personalized recommendation systems, the research of collaborative filtering reached a bottleneck. Neither algorithm accuracy nor computational complexity can be improved significantly. In this paper, we present our statistics and analysis on some recognized datasets. The analysis shows that the real rating features of the users cannot follow even distribution while most current algorithms were based on this premise. Therefore we proposed a new user-based collaborative filtering algorithm combining data-distribution. Since different users have different rating ranges, the key method of the algorithm is the special revise of user preference according to the distribution of the ratings. Our algorithm is comparable in computational complexity to SLOPE ONE algorithm and more accurate on the sparse data. We believe that it is a hopeful new direction for the development of collaborative filtering, which reflects the highlight of this paper.","PeriodicalId":348878,"journal":{"name":"2010 International Conference of Information Science and Management Engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121438655","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}
Presale services are premise of product sales, and key elements of improving enterprises’ economic efficiency, but most enterprises lack a comprehensive understanding of presale services. The article classified presale services into product-based presale and project-based presale,and described knowledge framework of presale service management. The core of presale service management contains deliverables management, presale consultant team management, quality management, process management. This article also introduced emerging marketing modes under the interaction of the presale service concept and marketing activities, such as knowledge marketing, value marketing, relationship marketing, program marketing, etc. The article analyses the development trend of presale service from sale-oriented presale, technology-based presale, and consultancy-based presale to knowledge-based presale at last.
{"title":"Analysis on Knowledge Framework and Development Trend of the Presale Services","authors":"Fei-long Chen","doi":"10.1109/ISME.2010.121","DOIUrl":"https://doi.org/10.1109/ISME.2010.121","url":null,"abstract":"Presale services are premise of product sales, and key elements of improving enterprises’ economic efficiency, but most enterprises lack a comprehensive understanding of presale services. The article classified presale services into product-based presale and project-based presale,and described knowledge framework of presale service management. The core of presale service management contains deliverables management, presale consultant team management, quality management, process management. This article also introduced emerging marketing modes under the interaction of the presale service concept and marketing activities, such as knowledge marketing, value marketing, relationship marketing, program marketing, etc. The article analyses the development trend of presale service from sale-oriented presale, technology-based presale, and consultancy-based presale to knowledge-based presale at last.","PeriodicalId":348878,"journal":{"name":"2010 International Conference of Information Science and Management Engineering","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121753003","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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