{"title":"Web服务社区中可靠的服务质量评估模型","authors":"Liping Chen, Guojun Zhang, Weitao Ha","doi":"10.1109/CIS.2010.106","DOIUrl":null,"url":null,"abstract":"As the development of Web service, reliable service quality evaluation has become the key in the service optimization. This paper addresses this problem by proposing a reliable service quality evaluation model in the Web services community. The model initially imports Web service community aiming at evaluation unreliable when involved criterions are beyond service domain. The assistant domain Ontology besides the domain Ontology is defined, and criterion trees and criterion forest are built up to evaluate service reliably. Then in the model a new TFAHP which has fuzzy evaluation adjustment attribute is proposed, and approach of fuzzy comprehensive evaluation is improved. At the same time based on combination of them, a new evaluation algorithm to the model is created. Finally, an experiment is designed and performed to prove the feasibility and effectiveness of the model.","PeriodicalId":420515,"journal":{"name":"2010 International Conference on Computational Intelligence and Security","volume":"202 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Reliable Service Quality Evaluation Model in the Web Services Community\",\"authors\":\"Liping Chen, Guojun Zhang, Weitao Ha\",\"doi\":\"10.1109/CIS.2010.106\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the development of Web service, reliable service quality evaluation has become the key in the service optimization. This paper addresses this problem by proposing a reliable service quality evaluation model in the Web services community. The model initially imports Web service community aiming at evaluation unreliable when involved criterions are beyond service domain. The assistant domain Ontology besides the domain Ontology is defined, and criterion trees and criterion forest are built up to evaluate service reliably. Then in the model a new TFAHP which has fuzzy evaluation adjustment attribute is proposed, and approach of fuzzy comprehensive evaluation is improved. At the same time based on combination of them, a new evaluation algorithm to the model is created. Finally, an experiment is designed and performed to prove the feasibility and effectiveness of the model.\",\"PeriodicalId\":420515,\"journal\":{\"name\":\"2010 International Conference on Computational Intelligence and Security\",\"volume\":\"202 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Computational Intelligence and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIS.2010.106\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Computational Intelligence and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS.2010.106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Reliable Service Quality Evaluation Model in the Web Services Community
As the development of Web service, reliable service quality evaluation has become the key in the service optimization. This paper addresses this problem by proposing a reliable service quality evaluation model in the Web services community. The model initially imports Web service community aiming at evaluation unreliable when involved criterions are beyond service domain. The assistant domain Ontology besides the domain Ontology is defined, and criterion trees and criterion forest are built up to evaluate service reliably. Then in the model a new TFAHP which has fuzzy evaluation adjustment attribute is proposed, and approach of fuzzy comprehensive evaluation is improved. At the same time based on combination of them, a new evaluation algorithm to the model is created. Finally, an experiment is designed and performed to prove the feasibility and effectiveness of the model.