{"title":"影响因子分析中交叉影响矩阵生成的CIMgen方法","authors":"Robyn C. Thompson, O. Olugbara, Alveen Singh","doi":"10.1109/ICTAS47918.2020.233990","DOIUrl":null,"url":null,"abstract":"A novel method to cross impact matrix creation is presented in this paper to overcome the inherent challenges of cross impact analysis. The cross impact matrix is a strong prerequisite for numerous impact factor analysis methods which are used in future studies, military intelligence, game simulation and various business contexts. The method draws on the property of transitivity of preference as a key concept for the creation of the cross impact matrix from preference chains. A number of drawbacks associated with the traditional development and creation of the cross impact matrix are addressed and are overcome using this novel approach. An existing cross impact matrix is used to test the validity and reliability of the method developed.","PeriodicalId":431012,"journal":{"name":"2020 Conference on Information Communications Technology and Society (ICTAS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CIMgen Method for Generating Cross Impact Matrix in Impact Factor Analysis\",\"authors\":\"Robyn C. Thompson, O. Olugbara, Alveen Singh\",\"doi\":\"10.1109/ICTAS47918.2020.233990\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel method to cross impact matrix creation is presented in this paper to overcome the inherent challenges of cross impact analysis. The cross impact matrix is a strong prerequisite for numerous impact factor analysis methods which are used in future studies, military intelligence, game simulation and various business contexts. The method draws on the property of transitivity of preference as a key concept for the creation of the cross impact matrix from preference chains. A number of drawbacks associated with the traditional development and creation of the cross impact matrix are addressed and are overcome using this novel approach. An existing cross impact matrix is used to test the validity and reliability of the method developed.\",\"PeriodicalId\":431012,\"journal\":{\"name\":\"2020 Conference on Information Communications Technology and Society (ICTAS)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Conference on Information Communications Technology and Society (ICTAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTAS47918.2020.233990\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Conference on Information Communications Technology and Society (ICTAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTAS47918.2020.233990","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
CIMgen Method for Generating Cross Impact Matrix in Impact Factor Analysis
A novel method to cross impact matrix creation is presented in this paper to overcome the inherent challenges of cross impact analysis. The cross impact matrix is a strong prerequisite for numerous impact factor analysis methods which are used in future studies, military intelligence, game simulation and various business contexts. The method draws on the property of transitivity of preference as a key concept for the creation of the cross impact matrix from preference chains. A number of drawbacks associated with the traditional development and creation of the cross impact matrix are addressed and are overcome using this novel approach. An existing cross impact matrix is used to test the validity and reliability of the method developed.