{"title":"使用虚拟化和容器技术生成信息基础设施","authors":"V. Trofimov, V. Kiyaev, S. Gazul","doi":"10.1109/SCM.2017.7970725","DOIUrl":null,"url":null,"abstract":"Proposes an approach to assessing the state of plant species (based on an example of assessing the state of large-leaved linden) in urban environment on the basis of fuzzy information from a group of experts. Formalization of the expert information is carried out on the basis of complete orthogonal semantic spaces. The proposed approach allows to avoid mistakes in the assessment of a single expert. Assessment of plant species needed for prediction of their state and landscaping plan.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"354 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Use of virtualization and container technology for information infrastructure generation\",\"authors\":\"V. Trofimov, V. Kiyaev, S. Gazul\",\"doi\":\"10.1109/SCM.2017.7970725\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Proposes an approach to assessing the state of plant species (based on an example of assessing the state of large-leaved linden) in urban environment on the basis of fuzzy information from a group of experts. Formalization of the expert information is carried out on the basis of complete orthogonal semantic spaces. The proposed approach allows to avoid mistakes in the assessment of a single expert. Assessment of plant species needed for prediction of their state and landscaping plan.\",\"PeriodicalId\":315574,\"journal\":{\"name\":\"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)\",\"volume\":\"354 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCM.2017.7970725\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCM.2017.7970725","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Use of virtualization and container technology for information infrastructure generation
Proposes an approach to assessing the state of plant species (based on an example of assessing the state of large-leaved linden) in urban environment on the basis of fuzzy information from a group of experts. Formalization of the expert information is carried out on the basis of complete orthogonal semantic spaces. The proposed approach allows to avoid mistakes in the assessment of a single expert. Assessment of plant species needed for prediction of their state and landscaping plan.
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