{"title":"一种混合排序算法及其在农业决策中的应用","authors":"D. Simić, J. Gajic, V. Ilin, S. Simic, S. Simic","doi":"10.1093/jigpal/jzz077","DOIUrl":null,"url":null,"abstract":"\n A vast number of real-world problems can be associated with multi-criteria decision-making (MCDM). This paper discusses MCDM in agricultural industry. Methodological hybrid analytical hierarchy processes, ELECTRE I and genetic algorithm method are proposed here, and it is shown how such a model can be used for complete ranking model. The proposed hybrid bio-inspired method is implemented on real-world data set collected from agricultural industry in Serbia.","PeriodicalId":304915,"journal":{"name":"Log. J. IGPL","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A hybrid ranking ELECTRE algorithm and its applications in agricultural decision-making\",\"authors\":\"D. Simić, J. Gajic, V. Ilin, S. Simic, S. Simic\",\"doi\":\"10.1093/jigpal/jzz077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n A vast number of real-world problems can be associated with multi-criteria decision-making (MCDM). This paper discusses MCDM in agricultural industry. Methodological hybrid analytical hierarchy processes, ELECTRE I and genetic algorithm method are proposed here, and it is shown how such a model can be used for complete ranking model. The proposed hybrid bio-inspired method is implemented on real-world data set collected from agricultural industry in Serbia.\",\"PeriodicalId\":304915,\"journal\":{\"name\":\"Log. J. IGPL\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Log. J. IGPL\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/jigpal/jzz077\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Log. J. IGPL","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/jigpal/jzz077","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A hybrid ranking ELECTRE algorithm and its applications in agricultural decision-making
A vast number of real-world problems can be associated with multi-criteria decision-making (MCDM). This paper discusses MCDM in agricultural industry. Methodological hybrid analytical hierarchy processes, ELECTRE I and genetic algorithm method are proposed here, and it is shown how such a model can be used for complete ranking model. The proposed hybrid bio-inspired method is implemented on real-world data set collected from agricultural industry in Serbia.