{"title":"运用FLIP进行多准则资本预算","authors":"C. Kahraman, Z. Ulukan","doi":"10.1109/ICCIMA.1999.798568","DOIUrl":null,"url":null,"abstract":"By using fuzzy linear programming (FLIP), tolerance intervals are used for calculating the availability of capital at each point in time. The main advantage, compared to the non-fuzzy problem formulation, is the fact that the decision maker is not forced into a precise formulation for mathematical reasons. Linear membership functions which monotonically increase or decrease in the tolerance interval are used because they can be handled quite easily. A numeric example is given.","PeriodicalId":110736,"journal":{"name":"Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multi-criteria capital budgeting using FLIP\",\"authors\":\"C. Kahraman, Z. Ulukan\",\"doi\":\"10.1109/ICCIMA.1999.798568\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By using fuzzy linear programming (FLIP), tolerance intervals are used for calculating the availability of capital at each point in time. The main advantage, compared to the non-fuzzy problem formulation, is the fact that the decision maker is not forced into a precise formulation for mathematical reasons. Linear membership functions which monotonically increase or decrease in the tolerance interval are used because they can be handled quite easily. A numeric example is given.\",\"PeriodicalId\":110736,\"journal\":{\"name\":\"Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300)\",\"volume\":\"109 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIMA.1999.798568\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Third International Conference on Computational Intelligence and Multimedia Applications. ICCIMA'99 (Cat. No.PR00300)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIMA.1999.798568","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
By using fuzzy linear programming (FLIP), tolerance intervals are used for calculating the availability of capital at each point in time. The main advantage, compared to the non-fuzzy problem formulation, is the fact that the decision maker is not forced into a precise formulation for mathematical reasons. Linear membership functions which monotonically increase or decrease in the tolerance interval are used because they can be handled quite easily. A numeric example is given.