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

(整期优先)网络出版时间:2015-01-11
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Inthispaper,weproposeaknowledgediscoverymethodbasedonthefuzzysettheorytohelpelderswithplantcultivation.Initially,thefuzzysetsareconstructedbyusingthefeatureselectionandstatisticalintervalestimation.Themin-maxinferenceandthecenterofgravitydefuzzificationmethodarethenusedtooutputacandidatepatternset.Finally,apatterndiscoveryisadoptedtoobtainthepatternsfromthecandidatesetforthecultivationsuggestionsbyconsideringthefrequencyweightanduser’sexperience.Inordertodemonstratetheperformanceofourmethodinplantingsystems,weconductaclicks-and-mortarcultivationplatform,namelyEdenGarden,fortheelderlylifestylesofhealthandsustainability(LOHAS).Theexperimentalresultsshowthattheaccuracyrateofourknowledgediscoverymethodcanreachupto85%.Moreover,theresultsoftheLOHASindexscaletablepresentthatthehappinessoftheeldersisincreasingwhiletheeldersareusingourproposedmethod.