Pub Date : 2007-11-01DOI: 10.1109/GSIS.2007.4443286
Yu Wei-feng, Chen Sen-fa
This paper evaluates the relative efficiency of decade's development of China traffic and transportation system and present regional development based on data envelopment analysis. The result and analysis conclude that the input and output efficiency of China has not promoted significantly, and the unbalance development between regions exists. Some regions have a relatively low efficiency and little correlation with their developing levels, so great attention should be paid to promote the efficiency of regional traffic and transportation productivity.
{"title":"Evaluation on overall relative efficiency of China traffic and transportation system based on data envelopment analysis","authors":"Yu Wei-feng, Chen Sen-fa","doi":"10.1109/GSIS.2007.4443286","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443286","url":null,"abstract":"This paper evaluates the relative efficiency of decade's development of China traffic and transportation system and present regional development based on data envelopment analysis. The result and analysis conclude that the input and output efficiency of China has not promoted significantly, and the unbalance development between regions exists. Some regions have a relatively low efficiency and little correlation with their developing levels, so great attention should be paid to promote the efficiency of regional traffic and transportation productivity.","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":"127281130","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.2007.4443554
Zhang Yuanyuan, Wang Jian-ling
This study explores to find the factors affecting evaluation of e-brand extension based on A&K model, and independent variables in this study are categorized as (1) Perceived quality;(2) Perceived fit (Transfer, Substitute and Complement); (3) Difficult; and (4) E-brand specific variables: experience fit. The results show that, in a network context, consumers use transfer of the extension with the original category as a major cue to evaluate the extension. At the same time, substitute seems to play a less important role, whereas complement plays a similar role as in a tangible product context. Besides perceived quality, the experience fit affect brand extension remarkably. As a consequence, e-brand extension strategies could probably be used most successfully in cases where significant similarities in experience exist.
{"title":"Exploring factors affecting evaluation of e-brand extension","authors":"Zhang Yuanyuan, Wang Jian-ling","doi":"10.1109/GSIS.2007.4443554","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443554","url":null,"abstract":"This study explores to find the factors affecting evaluation of e-brand extension based on A&K model, and independent variables in this study are categorized as (1) Perceived quality;(2) Perceived fit (Transfer, Substitute and Complement); (3) Difficult; and (4) E-brand specific variables: experience fit. The results show that, in a network context, consumers use transfer of the extension with the original category as a major cue to evaluate the extension. At the same time, substitute seems to play a less important role, whereas complement plays a similar role as in a tangible product context. Besides perceived quality, the experience fit affect brand extension remarkably. As a consequence, e-brand extension strategies could probably be used most successfully in cases where significant similarities in experience exist.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"151 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":"127286537","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.2007.4443275
Wang Jian-ling, L. Si-feng, Wu Zuo-min, Chen Fu-zhong
A new gray incidence degree of uncertainty number is defined, and applied to consumer evaluation of service brand extension. Based on A&K model, three kinds of service quality are introduced, and the famous Chinese brand Jinling Hotel is studied through dynamic data collecting, trying to find favorable factors affecting consumer evaluation of service brand extension. The results show that the new gray incidence degree is with good accuracy, that process quality is more important than functional quality, and complementary is a salient clue to evaluate extensions in a services context.
{"title":"Consumer evaluation of service brand extension based on gray incidence analysis of uncertainty number","authors":"Wang Jian-ling, L. Si-feng, Wu Zuo-min, Chen Fu-zhong","doi":"10.1109/GSIS.2007.4443275","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443275","url":null,"abstract":"A new gray incidence degree of uncertainty number is defined, and applied to consumer evaluation of service brand extension. Based on A&K model, three kinds of service quality are introduced, and the famous Chinese brand Jinling Hotel is studied through dynamic data collecting, trying to find favorable factors affecting consumer evaluation of service brand extension. The results show that the new gray incidence degree is with good accuracy, that process quality is more important than functional quality, and complementary is a salient clue to evaluate extensions in a services context.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"16 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":"124994957","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.2007.4443280
Y. Sun, Zheng Sun
Safety evaluation technology is a new method in the field of safety management. It made safety management from remedy after the accident to prevention beforehand. So safety management has the function to control the way of accidents. But now safety evaluation methods that adapt construction industry are not mature. In this paper, on the basis of integrating the current safety evaluation technologies and the traits of construction, a new grey comprehensive evaluation method is proposed. At first, the index system is constructed on safety evaluation of construction sites. Then on the usage of the hierarchy grey evaluation method, the process and evaluating grade are established to evaluate the safety of construction sites. At the same time, a comprehensive evaluation support system is developed. The new method is verified in three construction sites of Qingdao Construction Group.
{"title":"The grey comprehensive evaluation support system on safety of construction sites","authors":"Y. Sun, Zheng Sun","doi":"10.1109/GSIS.2007.4443280","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443280","url":null,"abstract":"Safety evaluation technology is a new method in the field of safety management. It made safety management from remedy after the accident to prevention beforehand. So safety management has the function to control the way of accidents. But now safety evaluation methods that adapt construction industry are not mature. In this paper, on the basis of integrating the current safety evaluation technologies and the traits of construction, a new grey comprehensive evaluation method is proposed. At first, the index system is constructed on safety evaluation of construction sites. Then on the usage of the hierarchy grey evaluation method, the process and evaluating grade are established to evaluate the safety of construction sites. At the same time, a comprehensive evaluation support system is developed. The new method is verified in three construction sites of Qingdao Construction Group.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"11 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":"123285831","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.2007.4443358
Yao Tian-xiang, L. Si-feng, Xie Nai-ming
When we establish a forecast model, we often choose the sample data, but the scheme of choosing the proper sample hasn't been solved up now. It is necessary to establish the feasible rules about how to choose the sample data and how much sample should be chosen. Due to there are much data in the economic variables, the rule must be given. The study in the paper shows that the growth rate is a constant in the forecasted GM(1,1) model and it is important to choose the sample data. If the growth rates of the sample data are close to one another, the average absolute errors are less and the sample data can be regarded as the same circle sample data. The data without the circle should be changed to the same circle data by using buffer operates.
{"title":"A study on choosing the sample data of grey forecast model","authors":"Yao Tian-xiang, L. Si-feng, Xie Nai-ming","doi":"10.1109/GSIS.2007.4443358","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443358","url":null,"abstract":"When we establish a forecast model, we often choose the sample data, but the scheme of choosing the proper sample hasn't been solved up now. It is necessary to establish the feasible rules about how to choose the sample data and how much sample should be chosen. Due to there are much data in the economic variables, the rule must be given. The study in the paper shows that the growth rate is a constant in the forecasted GM(1,1) model and it is important to choose the sample data. If the growth rates of the sample data are close to one another, the average absolute errors are less and the sample data can be regarded as the same circle sample data. The data without the circle should be changed to the same circle data by using buffer operates.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"169 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":"125664581","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.2007.4443552
Hou Jiangzhou, Li Ruiyu
Based on one kind of solvable mass unexpected incident, taken gray gambling method, a typical policy-making tree was constructed. In the condition of incomplete information, according to the trend of event, grey game process between "crisis event" and "crisis manager" was analyzed dynamically. It has theoretical meaning in establishing emergency strategy for policy-maker, and finally resolving mass unexpected incident.
{"title":"Parking model: A class of stochastic programming","authors":"Hou Jiangzhou, Li Ruiyu","doi":"10.1109/GSIS.2007.4443552","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443552","url":null,"abstract":"Based on one kind of solvable mass unexpected incident, taken gray gambling method, a typical policy-making tree was constructed. In the condition of incomplete information, according to the trend of event, grey game process between \"crisis event\" and \"crisis manager\" was analyzed dynamically. It has theoretical meaning in establishing emergency strategy for policy-maker, and finally resolving mass unexpected incident.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"55 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":"122494391","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.2007.4443485
Tian Fei, Zhu Jian-jun, Ma Bin
Based on the traditional interval gray number, a new uncertainty matrix - three-point interval gray complementary judgment matrix is put forward. Its satisfactory consistency definition is studied, and a weight solution model is given. On this basis, the method is applied to Government Energy-saving Policy Performance Evaluation, and fully demonstrates the practicality and effectiveness of this method.
{"title":"Evaluation of government energy-saving policy performance base on three-point interval gray number","authors":"Tian Fei, Zhu Jian-jun, Ma Bin","doi":"10.1109/GSIS.2007.4443485","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443485","url":null,"abstract":"Based on the traditional interval gray number, a new uncertainty matrix - three-point interval gray complementary judgment matrix is put forward. Its satisfactory consistency definition is studied, and a weight solution model is given. On this basis, the method is applied to Government Energy-saving Policy Performance Evaluation, and fully demonstrates the practicality and effectiveness of this method.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"7 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":"114189832","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.2007.4443518
Wang Yuhuai, Qi Ming
In this paper we research a new network marketing system based on expert system and discuss correlative technology. The new system shows the real predominance of shopping on Internet. The Website with the expert system has intelligent function to study the fancies of different consumers. So it can sell merchandise to consumers according to their different demands. In this way it can predigest the course to select merchandise and make merchants sell more merchandise. Although the new system is quite complex than the network marketing systems in being, it can create more business opportunities.
{"title":"Research and design of network marketing system based on expert system","authors":"Wang Yuhuai, Qi Ming","doi":"10.1109/GSIS.2007.4443518","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443518","url":null,"abstract":"In this paper we research a new network marketing system based on expert system and discuss correlative technology. The new system shows the real predominance of shopping on Internet. The Website with the expert system has intelligent function to study the fancies of different consumers. So it can sell merchandise to consumers according to their different demands. In this way it can predigest the course to select merchandise and make merchants sell more merchandise. Although the new system is quite complex than the network marketing systems in being, it can create more business opportunities.","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":"129715706","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.2007.4443254
G. Wei, Xiaorong Wang
A new method is proposed to solve multiple attribute group decision making problems with linguistic assessment information. In the method, the two-tuple linguistic representation developed in recent years is used to aggregate the linguistic assessment information. According to the traditional ideas of grey relational analysis, the optimal alternative(s) is determined by calculating the linguistic degree of grey relation of every alternative and two-tuple linguistic positive ideal solution and two-tuple linguistic negative ideal solution. It is based on the concept that the optimal alternative should have the largest degree of grey relation from positive ideal solution and the smallest degree of grey relation from the negative ideal solution. The method has exact characteristic in linguistic information processing. It avoided information distortion and losing which occur formerly in the linguistic information processing. Finally, a numerical example is used to illustrate the use of the proposed method. The result shows the approach is simple, effective and easy to calculate.
{"title":"Grey relational analysis method for multiple attribute group decision making based on two-tuple linguistic information","authors":"G. Wei, Xiaorong Wang","doi":"10.1109/GSIS.2007.4443254","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443254","url":null,"abstract":"A new method is proposed to solve multiple attribute group decision making problems with linguistic assessment information. In the method, the two-tuple linguistic representation developed in recent years is used to aggregate the linguistic assessment information. According to the traditional ideas of grey relational analysis, the optimal alternative(s) is determined by calculating the linguistic degree of grey relation of every alternative and two-tuple linguistic positive ideal solution and two-tuple linguistic negative ideal solution. It is based on the concept that the optimal alternative should have the largest degree of grey relation from positive ideal solution and the smallest degree of grey relation from the negative ideal solution. The method has exact characteristic in linguistic information processing. It avoided information distortion and losing which occur formerly in the linguistic information processing. Finally, a numerical example is used to illustrate the use of the proposed method. The result shows the approach is simple, effective and easy to calculate.","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":"128651307","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.2007.4443430
Minglun Ren, Juanjuan Duan, Shanlin Yang
Artificial intelligent models such as Artificial Neural Network, Genetic Algorithms, etc., play important roles in decision making. However, diversity in natures of intelligent models makes it difficult to decide which model is the most suitable one in solving certain decision problems. This paper proposes criteria of deferent suitability levels to evaluate the suitability of intelligent methods to decision environments, and presents a procedural method to calculate the suitability levels using Fuzzy Pattern Recognition. It analyzes various attributes related to decision problems and decision support systems' performance, then proposes a term SMP (Suitability of Model to decision Problem) for evaluating the suitability of decision models to certain decision problems. The influences of various attributes and preferences of decision makers are further explored, and a concept of SSMP (Synthetic SMP) is proposed to address human aspects in decision making. The paper presents a procedural method to calculate SMP and SSMP. Experimental calculation result shows this method is applicable in decision models selection.
人工神经网络、遗传算法等人工智能模型在决策中发挥着重要作用。然而，由于智能模型性质的多样性，在解决某些决策问题时，很难确定哪种模型是最合适的。本文提出了评价智能方法对决策环境适用性的不同适宜度标准，并提出了一种基于模糊模式识别的智能方法的适宜度计算方法。在分析决策问题和决策支持系统性能相关的各种属性的基础上，提出了一个术语SMP (Model to decision Problem的适用性)，用于评价决策模型对特定决策问题的适用性。进一步探讨了决策者的各种属性和偏好对决策的影响，并提出了综合决策的概念，以解决决策中的人的方面。本文给出了一种计算SMP和SSMP的程序方法。实验计算结果表明，该方法适用于决策模型的选择。
{"title":"Decision models evaluation using fuzzy pattern recognition","authors":"Minglun Ren, Juanjuan Duan, Shanlin Yang","doi":"10.1109/GSIS.2007.4443430","DOIUrl":"https://doi.org/10.1109/GSIS.2007.4443430","url":null,"abstract":"Artificial intelligent models such as Artificial Neural Network, Genetic Algorithms, etc., play important roles in decision making. However, diversity in natures of intelligent models makes it difficult to decide which model is the most suitable one in solving certain decision problems. This paper proposes criteria of deferent suitability levels to evaluate the suitability of intelligent methods to decision environments, and presents a procedural method to calculate the suitability levels using Fuzzy Pattern Recognition. It analyzes various attributes related to decision problems and decision support systems' performance, then proposes a term SMP (Suitability of Model to decision Problem) for evaluating the suitability of decision models to certain decision problems. The influences of various attributes and preferences of decision makers are further explored, and a concept of SSMP (Synthetic SMP) is proposed to address human aspects in decision making. The paper presents a procedural method to calculate SMP and SSMP. Experimental calculation result shows this method is applicable in decision models selection.","PeriodicalId":445155,"journal":{"name":"2007 IEEE International Conference on Grey Systems and Intelligent Services","volume":"11 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":"129346177","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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