{"title":"元素生命周期估计的模糊专家系统","authors":"Nannan Wang","doi":"10.1109/ITMC.2011.5995979","DOIUrl":null,"url":null,"abstract":"The life cycle costing is a key economic analysis tool for sustainable construction. The design for sustainable billings must consider the long-term performance of projects. The lack of reliable historical data, especially for new building materials, is the main problem for life cycles estimate of building elements in PPP/PFI projects. The objective of this research is to develop a fuzzy expert system to estimate the life cycles of building elements at the strategic design stage. A case study was presented to demonstrate the fuzzy rule based system and its implication to estimate the life cycle of a building element - floor finishes. The model is easy-to-use in practice and the method can be applied to other building elements in terms of life cycle estimate.","PeriodicalId":369450,"journal":{"name":"First International Technology Management Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A fuzzy expert system for elemental life cycle estimate\",\"authors\":\"Nannan Wang\",\"doi\":\"10.1109/ITMC.2011.5995979\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The life cycle costing is a key economic analysis tool for sustainable construction. The design for sustainable billings must consider the long-term performance of projects. The lack of reliable historical data, especially for new building materials, is the main problem for life cycles estimate of building elements in PPP/PFI projects. The objective of this research is to develop a fuzzy expert system to estimate the life cycles of building elements at the strategic design stage. A case study was presented to demonstrate the fuzzy rule based system and its implication to estimate the life cycle of a building element - floor finishes. The model is easy-to-use in practice and the method can be applied to other building elements in terms of life cycle estimate.\",\"PeriodicalId\":369450,\"journal\":{\"name\":\"First International Technology Management Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First International Technology Management Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITMC.2011.5995979\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Technology Management Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITMC.2011.5995979","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fuzzy expert system for elemental life cycle estimate
The life cycle costing is a key economic analysis tool for sustainable construction. The design for sustainable billings must consider the long-term performance of projects. The lack of reliable historical data, especially for new building materials, is the main problem for life cycles estimate of building elements in PPP/PFI projects. The objective of this research is to develop a fuzzy expert system to estimate the life cycles of building elements at the strategic design stage. A case study was presented to demonstrate the fuzzy rule based system and its implication to estimate the life cycle of a building element - floor finishes. The model is easy-to-use in practice and the method can be applied to other building elements in terms of life cycle estimate.