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ApplicationandComparativeAnalysisoftheWeightedGreyModelinGoafSubsidenceMonitoring

  

  1. (1.YunnanCollegeofBusinessManagement,Kunming650106,China;2.CityCollege,KunmingUniversityofScienceandTechnology,Kunming650021,China)
  • Online:2018-10-30 Published:2018-10-30

Abstract: Withsubsidencemonitoringofthegoafastheresearchobject,themonitoringdataweremodeledandanalyzedbyusinggreymodelGM (1,1)andweightedgreymodelPGM (1,1)inthegreysystemtheory.Twoifferentweightingschemes,namely,thatadoptingtheminimummeanvalueofrelativeerrorabsolutevalueandthatingtheminimummeanvalueofthesumoftheabsolutevalueoftheerror,reflectthecontributionrateofeachmonitoringvaluetothemodel,whichismoretimelinessthanthetraditionalequalweightmodel.Combinedwithengineeringexamples,thefeasibilityandreliabilityofdataprocessingandanalysisofsettlementmonitoringdataingoafusingthegreytheoreticalmodelwereverified.Inparticular,intherelativeerrorabsolutemeanminimummethod,whetherfromthefittingaccuracyorshort-termprediction,PGM(1,1)isbetterthanGM(1,1)model,anditsapplicationisworthstudying.

Key words: greymodel(GM), weightedgreymodel-PGM (1, 1), fiting;prediction, accuracy

CLC Number: