{"title":"模糊集理论在育种性状与背景性状相关区域搜索中的应用","authors":"D. Kurtener, V. Dragavtsev","doi":"10.17830/J.EAJ.2018.05.120","DOIUrl":null,"url":null,"abstract":"In most cases, genotypic characteristics and characteristics reflecting the influence of the environment are independent. The arrays of these characteristics are orthodox. However, in rather rare cases, individual elements of these arrays correlate. Select these elements and assess the relationship between them is a rather difficult task. The purpose of this work is to develop an algorithm for finding such elements using Fuzzy sets theory.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"41 1","pages":"116-120"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Fuzzy Sets Theory for Searching Area of Correlation between Breeding and Background Traits\",\"authors\":\"D. Kurtener, V. Dragavtsev\",\"doi\":\"10.17830/J.EAJ.2018.05.120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In most cases, genotypic characteristics and characteristics reflecting the influence of the environment are independent. The arrays of these characteristics are orthodox. However, in rather rare cases, individual elements of these arrays correlate. Select these elements and assess the relationship between them is a rather difficult task. The purpose of this work is to develop an algorithm for finding such elements using Fuzzy sets theory.\",\"PeriodicalId\":30775,\"journal\":{\"name\":\"European Agrophysical Journal\",\"volume\":\"41 1\",\"pages\":\"116-120\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Agrophysical Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17830/J.EAJ.2018.05.120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Agrophysical Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17830/J.EAJ.2018.05.120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Fuzzy Sets Theory for Searching Area of Correlation between Breeding and Background Traits
In most cases, genotypic characteristics and characteristics reflecting the influence of the environment are independent. The arrays of these characteristics are orthodox. However, in rather rare cases, individual elements of these arrays correlate. Select these elements and assess the relationship between them is a rather difficult task. The purpose of this work is to develop an algorithm for finding such elements using Fuzzy sets theory.
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