Fuzzy-Based Knowledge Discovery from Heterogeneous Data in Planting Systems for Elderly LOHAS

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摘要 Inthispaper,weproposeaknowledgediscoverymethodbasedonthefuzzysettheorytohelpelderswithplantcultivation.Initially,thefuzzysetsareconstructedbyusingthefeatureselectionandstatisticalintervalestimation.Themin-maxinferenceandthecenterofgravitydefuzzificationmethodarethenusedtooutputacandidatepatternset.Finally,apatterndiscoveryisadoptedtoobtainthepatternsfromthecandidatesetforthecultivationsuggestionsbyconsideringthefrequencyweightanduser’sexperience.Inordertodemonstratetheperformanceofourmethodinplantingsystems,weconductaclicks-and-mortarcultivationplatform,namelyEdenGarden,fortheelderlylifestylesofhealthandsustainability(LOHAS).Theexperimentalresultsshowthattheaccuracyrateofourknowledgediscoverymethodcanreachupto85%.Moreover,theresultsoftheLOHASindexscaletablepresentthatthehappinessoftheeldersisincreasingwhiletheeldersareusingourproposedmethod.
机构地区 不详
出版日期 2015年01月11日(中国期刊网平台首次上网日期,不代表论文的发表时间)
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