{"title":"可能性规划问题中的模糊决策","authors":"Ping Guo, H. Tanaka","doi":"10.1109/AFSS.1996.583604","DOIUrl":null,"url":null,"abstract":"In this paper, possibility programming problems are formulated to obtain fuzzy decisions that reflect vagueness in decision problems. According to the different decision cases, there are two options: one is linear programming (LP), the other is quadratic programming (QP). In general, it is feasible that QP will obtain a greater number of different solutions than LP will.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Fuzzy decisions in possibility programming problems\",\"authors\":\"Ping Guo, H. Tanaka\",\"doi\":\"10.1109/AFSS.1996.583604\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, possibility programming problems are formulated to obtain fuzzy decisions that reflect vagueness in decision problems. According to the different decision cases, there are two options: one is linear programming (LP), the other is quadratic programming (QP). In general, it is feasible that QP will obtain a greater number of different solutions than LP will.\",\"PeriodicalId\":197019,\"journal\":{\"name\":\"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AFSS.1996.583604\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AFSS.1996.583604","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy decisions in possibility programming problems
In this paper, possibility programming problems are formulated to obtain fuzzy decisions that reflect vagueness in decision problems. According to the different decision cases, there are two options: one is linear programming (LP), the other is quadratic programming (QP). In general, it is feasible that QP will obtain a greater number of different solutions than LP will.