基于貼近度的誘導(dǎo)有序加權(quán)平均算子最優(yōu)組合預(yù)測模型的構(gòu)建及其性質(zhì).pdf

1、安徽大學(xué)碩士學(xué)位論文基于貼近度的誘導(dǎo)有序加權(quán)平均算子最優(yōu)組合預(yù)測模型的構(gòu)建及其性質(zhì)姓名：袁宏俊申請學(xué)位級別：碩士專業(yè)：應(yīng)用數(shù)學(xué)指導(dǎo)教師：陳華友200911AbstractIntheactualforecastproblem，thevariousqualitativeforecastmethodandthequatitativeforecastmethodhavetheirmeritsandtheshortcomingsrespectiv

2、elyThatis，theyalenotmutuallyexclusive，buttheyareconnectedeachotherandtheyhavemutualcomplementationsBecauseeachkindofforecastmethodsusethedifferentdatathedifferentdatasupplythevariousaspectsusefulinformationfromthediffere

3、ntpointIntheforecastingprocess，ifforecastingmakertakesitforgrantedthoughtthatthepredictionerrorisbigforsomesingleforecastmethods，heabandonsthismethodnottouseit，whichpossiblyleadstothelossoftheusefulinformationThecombinat

4、ionforecastingmethodmayobtainbetterforecasteffectscomparedvvimthesingleforecastmethod，andhashigherforecastaccuracythanindividualones，SOithelptodiversifytheforecastriskTherefore，thecombinationforecastingisoneofthetopics、Ⅳ

5、i也researchvalueButthecombinationforecastinghasnotalonghistory，thecombinationforecastingmethodandthevalidtheory’SresearchisnotveryperfeetitisnecessarytofurtherstrengthentheresearchInthisdissertationtheoptimalcombinationfo

6、recastingmodelbasedonapproachdegreeandinducedorderedweightedaveragingoperatorsareconstructedandsomepropertiesarestudiedThemaincontentsareexpressedasfollowing：(1)Theexistingcombinationforecastingalesummarizedinthisdissert

7、ationAnewkindofnonnegativeweighto州amalcombinationforecastingmodelisproposedbasedoncorrelationindexTheapproachdegreeisintroducedtothecombinationforecasting，andthecombinationforecastingmodelisestablishedbasedonarithmeticme

8、anbynon—dimensionalizationofattributeindexesSomepropertiesarestudiedincludingnoninferiorcombinationforecasting，sufficientconditionofsuperiorcombinationforecastingexistence，redundancyforecastmethodexistenceandredundantinf