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Evolutionary generation of rule base in TSK fuzzy model for real estate appraisal 房地产估价TSK模糊模型规则库的演化生成
2008 3rd International Workshop on Genetic and Evolving Systems Pub Date : 2008-03-04 DOI: 10.1109/GEFS.2008.4484570
T. Lasota, B. Trawinski, Krzysztof Trawiński
{"title":"Evolutionary generation of rule base in TSK fuzzy model for real estate appraisal","authors":"T. Lasota, B. Trawinski, Krzysztof Trawiński","doi":"10.1109/GEFS.2008.4484570","DOIUrl":"https://doi.org/10.1109/GEFS.2008.4484570","url":null,"abstract":"Takagi-Sugeno-Kang-type fuzzy model to assist with real estate appraisals is described and optimized using evolutionary algorithms Two approaches were compared in the paper. The first one consisted in learning the rule base and the second one in combining learning the rule base and tuning the membership functions in one process. Five TSK-type fuzzy models comprising 3 or 4 input variables referring to the attributes of a property were evaluated. The evolutionary algorithms were based on Pittsburgh approach with the real coded chromosomes of constant length comprising whole rule base or both the rule base and all parameters of all membership functions. The experiments were conducted using training and testing sets prepared on the basis of actual 134 sales transactions made in one of Polish cities and located in a residential section.","PeriodicalId":343300,"journal":{"name":"2008 3rd International Workshop on Genetic and Evolving Systems","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114691104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
KEEL: A data mining software tool integrating genetic fuzzy systems 一个集成遗传模糊系统的数据挖掘软件工具
2008 3rd International Workshop on Genetic and Evolving Systems Pub Date : 2008-03-04 DOI: 10.1109/GEFS.2008.4484572
J. Alcalá-Fdez, S. García, F. Berlanga, Alberto Fernández, L. Sánchez, M. J. Jesús, F. Herrera
{"title":"KEEL: A data mining software tool integrating genetic fuzzy systems","authors":"J. Alcalá-Fdez, S. García, F. Berlanga, Alberto Fernández, L. Sánchez, M. J. Jesús, F. Herrera","doi":"10.1109/GEFS.2008.4484572","DOIUrl":"https://doi.org/10.1109/GEFS.2008.4484572","url":null,"abstract":"This work introduces the software tool KEEL to assess evolutionary algorithms for data mining problems including regression, classification, clustering, pattern mining and so on. It includes a big collection of genetic fuzzy system algorithms based on different approaches: Pittsburgh, Michigan, IRL and GCCL. It allows us to perform a complete analysis of any genetic fuzzy system in comparison to existing ones, including a statistical test module for comparison. The use of KEEL is illustrated through the analysis of one case study.","PeriodicalId":343300,"journal":{"name":"2008 3rd International Workshop on Genetic and Evolving Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121660074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
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