{"title":"具有定量和定性用户偏好的Web服务选择","authors":"Hongbing Wang, Weihong Liu","doi":"10.1109/WI-IAT.2011.68","DOIUrl":null,"url":null,"abstract":"Most existing approaches of Web service selection with user preferences are either quantitative or qualitative. However, using a qualitative or quantitative approach alone cannot handle all the non-functional properties(NFPs). To solve this problem, we present an approach of service selection with quantitative and qualitative user preferences, where qualitative preferences are modeled as a TCP-net and quantitative preferences are specified by using arbitrary positive numbers. Our approach consists of two steps, that is, qualitative selection based on qualitative preferences and quantitative selection based on quantitative preferences. We prove its effectiveness and verify its efficiency through extensive experiments.","PeriodicalId":128421,"journal":{"name":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","volume":"235 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Web Service Selection with Quantitative and Qualitative User Preferences\",\"authors\":\"Hongbing Wang, Weihong Liu\",\"doi\":\"10.1109/WI-IAT.2011.68\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most existing approaches of Web service selection with user preferences are either quantitative or qualitative. However, using a qualitative or quantitative approach alone cannot handle all the non-functional properties(NFPs). To solve this problem, we present an approach of service selection with quantitative and qualitative user preferences, where qualitative preferences are modeled as a TCP-net and quantitative preferences are specified by using arbitrary positive numbers. Our approach consists of two steps, that is, qualitative selection based on qualitative preferences and quantitative selection based on quantitative preferences. We prove its effectiveness and verify its efficiency through extensive experiments.\",\"PeriodicalId\":128421,\"journal\":{\"name\":\"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology\",\"volume\":\"235 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WI-IAT.2011.68\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WI-IAT.2011.68","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Web Service Selection with Quantitative and Qualitative User Preferences
Most existing approaches of Web service selection with user preferences are either quantitative or qualitative. However, using a qualitative or quantitative approach alone cannot handle all the non-functional properties(NFPs). To solve this problem, we present an approach of service selection with quantitative and qualitative user preferences, where qualitative preferences are modeled as a TCP-net and quantitative preferences are specified by using arbitrary positive numbers. Our approach consists of two steps, that is, qualitative selection based on qualitative preferences and quantitative selection based on quantitative preferences. We prove its effectiveness and verify its efficiency through extensive experiments.