Pub Date : 2017-10-26DOI: 10.1109/GSIS.2017.8077658
Sifeng Liu, Changhai Lin, Yingjie Yang
The problems which remain for further studying in grey system theory are identified. Including the synthesis axiom of degree of greyness for “multiplication” and “division”, how to construct and select a suitable buffer operator? how to select and test a grey prediction model? how to build a negative grey incidence analysis models? the test rules and criteria of grey clustering evaluation models, and on consensus and unified definition of grey combined models, etc.
{"title":"Several problems need to be studied in grey system theory","authors":"Sifeng Liu, Changhai Lin, Yingjie Yang","doi":"10.1109/GSIS.2017.8077658","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077658","url":null,"abstract":"The problems which remain for further studying in grey system theory are identified. Including the synthesis axiom of degree of greyness for “multiplication” and “division”, how to construct and select a suitable buffer operator? how to select and test a grey prediction model? how to build a negative grey incidence analysis models? the test rules and criteria of grey clustering evaluation models, and on consensus and unified definition of grey combined models, etc.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121566300","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 : 2017-08-09DOI: 10.1109/GSIS.2017.8077739
R. Qiu, Jason L. Qiu, Y. Badr
Alzheimer's disease (AD) cannot be cured or slowed down with today's medication. Scientific studies have found that 1) the progression of AD is highly correlated to a cognition decline, 2) cognition drop is a precursor of Alzheimer's disease, and 3) making lifestyle changes and training the brain can slow down AD progression. This project aims to develop a predictive model to know the progression of an AD patient. Factors that influence the disease's severity and progression are determined, which would help facilitate developing a set of personalized care instructions to guide individuals in making the necessary lifestyle choices to retain or rejuvenate their brain's cognitive ability. Ultimately, the developed model can be potentially incorporated into a convenient self-diagnostic tool for the public to use at home.
{"title":"Predictive modeling of the severity/progression of alzheimer's diseases","authors":"R. Qiu, Jason L. Qiu, Y. Badr","doi":"10.1109/GSIS.2017.8077739","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077739","url":null,"abstract":"Alzheimer's disease (AD) cannot be cured or slowed down with today's medication. Scientific studies have found that 1) the progression of AD is highly correlated to a cognition decline, 2) cognition drop is a precursor of Alzheimer's disease, and 3) making lifestyle changes and training the brain can slow down AD progression. This project aims to develop a predictive model to know the progression of an AD patient. Factors that influence the disease's severity and progression are determined, which would help facilitate developing a set of personalized care instructions to guide individuals in making the necessary lifestyle choices to retain or rejuvenate their brain's cognitive ability. Ultimately, the developed model can be potentially incorporated into a convenient self-diagnostic tool for the public to use at home.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125946689","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 : 2017-08-01DOI: 10.1109/GSIS.2017.8077666
Mei Cai, Zaiwu Gong
Many decision-making problems use vague and imprecise information in linguistic variable formats as preferences. In this paper, we present a linguistic representative model based on discrete fuzzy numbers whose support is a subset of consecutive natural numbers. The arbitrary linguistic term is defined to give decision makers more freedom to express their preferences. The discrete fuzzy weighted normal operators defined on a finite chain in accordance with the granularity of linguistic term set are used to complete the aggregation process.
{"title":"A novel linguistic representative model based on discrete fuzzy numbers for multi-granularity linguistic decision-making","authors":"Mei Cai, Zaiwu Gong","doi":"10.1109/GSIS.2017.8077666","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077666","url":null,"abstract":"Many decision-making problems use vague and imprecise information in linguistic variable formats as preferences. In this paper, we present a linguistic representative model based on discrete fuzzy numbers whose support is a subset of consecutive natural numbers. The arbitrary linguistic term is defined to give decision makers more freedom to express their preferences. The discrete fuzzy weighted normal operators defined on a finite chain in accordance with the granularity of linguistic term set are used to complete the aggregation process.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124264057","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 : 2017-08-01DOI: 10.1109/GSIS.2017.8077681
Xiaojian Yuan, Qishan Zhang
As a new form of business, electronic commerce is becoming vital for Chinese economy. Due to the limited available information, the limited accuracy of the information and the limitations of the statistics methods, the traditional research methods are not effective. In this study, in order to provide guidance for the related decision making and research, the method of grey relational analysis (GRA) based on weight entropy is introduced to study the factors that influence the development of electronic commerce. At the same time, the relative degree of incidence is also introduced in this thesis to analyze the factors, and to obtain the factors which are more obvious for the development of electronic commerce. Then the grey similitude degree of incidence is used to further verify the results.
{"title":"The applied research of grey relational analysis based on entropy weight","authors":"Xiaojian Yuan, Qishan Zhang","doi":"10.1109/GSIS.2017.8077681","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077681","url":null,"abstract":"As a new form of business, electronic commerce is becoming vital for Chinese economy. Due to the limited available information, the limited accuracy of the information and the limitations of the statistics methods, the traditional research methods are not effective. In this study, in order to provide guidance for the related decision making and research, the method of grey relational analysis (GRA) based on weight entropy is introduced to study the factors that influence the development of electronic commerce. At the same time, the relative degree of incidence is also introduced in this thesis to analyze the factors, and to obtain the factors which are more obvious for the development of electronic commerce. Then the grey similitude degree of incidence is used to further verify the results.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116900899","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 : 2017-08-01DOI: 10.1109/GSIS.2017.8077725
Yuyu Chen, Bang-yi Li
Considering the convenience of third-party recycler, this paper uses the Hotelling competition model and the Stackelberg game to study the recycling competition between a producer and a third-party recycler in the waste electronic and electrical equipment (WEEE) recycling market. Stackelberg game theory is used to study the pricing decisions of recycling of WEEE for producer and third-party recycler under the conditions of non-competition, partial coverage competition and complete coverage competition. The results of the study show that the recycling prices of producer and recycler are not negatively related to the unit revenue. The market coverage is positively related to both sides' unit revenue. The producer's profit under full coverage with competition is always higher than the partial coverage with competition, and the profit of recycler depends on unit revenue.
{"title":"Recycling pricing of valuable WEEE based on hotelling model","authors":"Yuyu Chen, Bang-yi Li","doi":"10.1109/GSIS.2017.8077725","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077725","url":null,"abstract":"Considering the convenience of third-party recycler, this paper uses the Hotelling competition model and the Stackelberg game to study the recycling competition between a producer and a third-party recycler in the waste electronic and electrical equipment (WEEE) recycling market. Stackelberg game theory is used to study the pricing decisions of recycling of WEEE for producer and third-party recycler under the conditions of non-competition, partial coverage competition and complete coverage competition. The results of the study show that the recycling prices of producer and recycler are not negatively related to the unit revenue. The market coverage is positively related to both sides' unit revenue. The producer's profit under full coverage with competition is always higher than the partial coverage with competition, and the profit of recycler depends on unit revenue.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116416460","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 : 2017-08-01DOI: 10.1109/GSIS.2017.8077680
Chaoqing Yuan, Yanan Zhang, Nuo Xu, Jun Xu
The relation between Chinese GDP and defense expenditure is investigated based on the data from 1978 to 2015, which is divided into four stages according to national defense development strategy evolution and defense spending growth rate. The results revealed that the absolute degree of grey incidence between defense expenditure and GDP is relatively small, illustrating defense expenditure exerts less pressure on the economy; on the other hand, the relative degree of grey incidence between defense expenditure and GDP is relative large, indicating that the economic growth is playing an important role in the development of national defense.
{"title":"Grey relational analysis on the relation between China's gdp and defense expenditure","authors":"Chaoqing Yuan, Yanan Zhang, Nuo Xu, Jun Xu","doi":"10.1109/GSIS.2017.8077680","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077680","url":null,"abstract":"The relation between Chinese GDP and defense expenditure is investigated based on the data from 1978 to 2015, which is divided into four stages according to national defense development strategy evolution and defense spending growth rate. The results revealed that the absolute degree of grey incidence between defense expenditure and GDP is relatively small, illustrating defense expenditure exerts less pressure on the economy; on the other hand, the relative degree of grey incidence between defense expenditure and GDP is relative large, indicating that the economic growth is playing an important role in the development of national defense.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121583038","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 : 2017-08-01DOI: 10.1109/GSIS.2017.8077668
Qishan Zhang, Xinhuan Huang, Hong Liu, Jinli Duan
Disease cost estimation is an important and challenging issue. It serves as the key factor of hospital cost and cost control. It has been a challenge to estimate the disease cost because of the complexity of the disease pathology, individual differences of treatment process, adverse drug reaction, and complications. Especially in some high risk and high noise diseases there is another challenge from small sample and poor data. Grey relational analysis is a kind of effective method to study small sample, and poor data. In this paper, an improved model based on grey relational analysis and case-based reasoning is proposed to estimate the disease cost. Firstly, the similarity on cost attributes is calculated through the grey relational analysis method. And then the optimal attribute weights is found with the cuckoo search algorithm and there are a few cases matching to the target case according to the similarity in the historical case database to estimate the cost of target case. At last the estimation accuracy using the improved model in experimental study of the cost estimation of simple appendicitis disease, cesarean section, and heart bypass surgery is compared with the three models respectively with Euclidean distance, Angle cosine, and Mahalanobis distance. The improved model is best on cost estimation precision, especially in small sample and disease with high risk and high noise.
{"title":"Disease cost estimation model based on improved grey relational analysis and case-based reasoning","authors":"Qishan Zhang, Xinhuan Huang, Hong Liu, Jinli Duan","doi":"10.1109/GSIS.2017.8077668","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077668","url":null,"abstract":"Disease cost estimation is an important and challenging issue. It serves as the key factor of hospital cost and cost control. It has been a challenge to estimate the disease cost because of the complexity of the disease pathology, individual differences of treatment process, adverse drug reaction, and complications. Especially in some high risk and high noise diseases there is another challenge from small sample and poor data. Grey relational analysis is a kind of effective method to study small sample, and poor data. In this paper, an improved model based on grey relational analysis and case-based reasoning is proposed to estimate the disease cost. Firstly, the similarity on cost attributes is calculated through the grey relational analysis method. And then the optimal attribute weights is found with the cuckoo search algorithm and there are a few cases matching to the target case according to the similarity in the historical case database to estimate the cost of target case. At last the estimation accuracy using the improved model in experimental study of the cost estimation of simple appendicitis disease, cesarean section, and heart bypass surgery is compared with the three models respectively with Euclidean distance, Angle cosine, and Mahalanobis distance. The improved model is best on cost estimation precision, especially in small sample and disease with high risk and high noise.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124517802","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 : 2017-08-01DOI: 10.1109/GSIS.2017.8077714
Xiaqing Liu, N. Zhang, Zhigeng Fang
4 first-grade indicators and 13 second-grade indicators, which are selected by a two-stage grey cluster method from numerous factors such as those influencing the development of economy and society, infrastructure construction, and related industry development, constitute an assessment indicator system for evaluating regional economic and social development. Data was collected from 14 cities and prefectures of Xinjiang, a province of China, as a sample, and then an improved center points mixed triangle whitenization weight function was deployed to divide 14 cities and prefectures of Xinjiang into 4 groups, which provides the basis for economic and social development orientation of cities and prefectures in Xinjiang under the background of “the New Silk Road Economic Belt”. Finally, reasons for development lag of economic circles are analyzed and constructive suggestions are put forward accordingly.
{"title":"Research on assessment of the economic and social development based on a two-stage grey cluster method","authors":"Xiaqing Liu, N. Zhang, Zhigeng Fang","doi":"10.1109/GSIS.2017.8077714","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077714","url":null,"abstract":"4 first-grade indicators and 13 second-grade indicators, which are selected by a two-stage grey cluster method from numerous factors such as those influencing the development of economy and society, infrastructure construction, and related industry development, constitute an assessment indicator system for evaluating regional economic and social development. Data was collected from 14 cities and prefectures of Xinjiang, a province of China, as a sample, and then an improved center points mixed triangle whitenization weight function was deployed to divide 14 cities and prefectures of Xinjiang into 4 groups, which provides the basis for economic and social development orientation of cities and prefectures in Xinjiang under the background of “the New Silk Road Economic Belt”. Finally, reasons for development lag of economic circles are analyzed and constructive suggestions are put forward accordingly.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"246 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133613185","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 : 2017-08-01DOI: 10.1109/GSIS.2017.8077660
Zhao-bin Li, Zhuo Zhang, Jian Liu, Shuai Zhang
In this paper, a new method for ranking interval grey numbers to address the challenge in multi-criteria decision making problems with interval grey numbers has been proposed. This new method involves the risk preferences of decision makers. First, we propose a new method to rank the interval grey numbers by comparing the possibility degree or whitened-value. Second, we classify the decision makers into three different types according to their risk preferences then we establish the corresponding risk preference assumptions to solve the problem that different interval grey numbers with the same possibility degree or whitened-value. Finally, we use a realistic voting example to demonstrate the practicability and effectiveness of the proposed method.
{"title":"The interval grey numbers ranking based on risk preferences","authors":"Zhao-bin Li, Zhuo Zhang, Jian Liu, Shuai Zhang","doi":"10.1109/GSIS.2017.8077660","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077660","url":null,"abstract":"In this paper, a new method for ranking interval grey numbers to address the challenge in multi-criteria decision making problems with interval grey numbers has been proposed. This new method involves the risk preferences of decision makers. First, we propose a new method to rank the interval grey numbers by comparing the possibility degree or whitened-value. Second, we classify the decision makers into three different types according to their risk preferences then we establish the corresponding risk preference assumptions to solve the problem that different interval grey numbers with the same possibility degree or whitened-value. Finally, we use a realistic voting example to demonstrate the practicability and effectiveness of the proposed method.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128664176","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 : 2017-08-01DOI: 10.1109/GSIS.2017.8077706
Ye Li, Yufei Niu, Wenliang Wang, Bing-jun Li
Aiming at the multiple attribute decision making problem with three-parameter interval grey numbers, a grey-incidence clustering decision making method based on regret theory is proposed in this paper. First, according to the idea of TOPSIS method, a kind of comprehensive grey interval incidence coefficient of three-parameter interval grey number is defined, and the “regret-rejoice” value is calculated out based on the grey interval relational coefficients, so the grey relational comprehensive perceptional utility of decision attribute value is obtained by adding the perceptive utility value of comprehensive grey interval incidence coefficient. Then, differing from the traditional grey-incidence clustering method, in this paper, grey clustering analysis is proceeded on the basis of the calculated matrix of comprehensive perceptional utility, so the comprehensive clustering results are achieved, and the ranking of the alternatives which are included in one class can be achieved too. Finally, the rationality and validity of the proposed method are verified by comparison analysis with an example.
{"title":"Grey-incidence clustering decision-making method with three-parameter interval grey number based on regret theory","authors":"Ye Li, Yufei Niu, Wenliang Wang, Bing-jun Li","doi":"10.1109/GSIS.2017.8077706","DOIUrl":"https://doi.org/10.1109/GSIS.2017.8077706","url":null,"abstract":"Aiming at the multiple attribute decision making problem with three-parameter interval grey numbers, a grey-incidence clustering decision making method based on regret theory is proposed in this paper. First, according to the idea of TOPSIS method, a kind of comprehensive grey interval incidence coefficient of three-parameter interval grey number is defined, and the “regret-rejoice” value is calculated out based on the grey interval relational coefficients, so the grey relational comprehensive perceptional utility of decision attribute value is obtained by adding the perceptive utility value of comprehensive grey interval incidence coefficient. Then, differing from the traditional grey-incidence clustering method, in this paper, grey clustering analysis is proceeded on the basis of the calculated matrix of comprehensive perceptional utility, so the comprehensive clustering results are achieved, and the ranking of the alternatives which are included in one class can be achieved too. Finally, the rationality and validity of the proposed method are verified by comparison analysis with an example.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"537 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127062873","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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