简介：Theplatformschedulingprobleminbattlefieldisoneoftheimportantproblemsinmilitaryoperationalresearch.Itneedstominimizemissioncompletingtimeandmeanwhilemaximizethemissioncompletingaccuracywithalimitednumberofplatforms.Thoughthetraditionalcertainmodelsobtainsomegoodresults,uncertainmodelisstillneededtobeintroducedsincethebattlefieldenvironmentiscomplexandunstable.Anuncertainmodelisprposedfortheplatformschedulingproblem.Relatedparametersinthismodelaresettobefuzzyorstochastic.Duetotheinherentdisadvantageofthesolvingmethodsfortraditionalmodels,anewmethodisproposedtosolvetheuncertainmodel.Finally,thepracticabilityandavailabilityoftheproposedmethodaredemonstratedwithacaseofjointcampaign.

简介：Intheopennetworkenvironment,maliciousattackstothetrustmodelhavebecomeincreasinglyserious.Comparedwithsinglenodeattacks,collusionattacksdomoreharmtothetrustmodel.Tosolvethisproblem,acollusiondetectorbasedontheGNalgorithmforthetrustevaluationmodelisproposedintheopenInternetenvironment.Byanalyzingthebehavioralcharacteristicsofcollusiongroups,theconceptofflattingisdefinedandtheG-Ncommunityminingalgorithmisusedtodividesuspiciouscommunities.Onthisbasis,acollusioncommunitydetectormethodisproposedbasedonthebreakingstrengthofsuspiciouscommunities.Simulationresultsshowthatthemodelhashighrecognitionaccuracyinidentifyingcollusionnodes,soastoeffectivelydefendagainstmaliciousattacksofcollusionnodes.

简介：ThispaperconsiderstheBayesianandexpectedBayesian(E-Bayesian)estimationsoftheparameterandreliabilityfunctionforcompetingriskmodelfromGompertzdistributionunderType-Iprogressivelyhybridcensoringscheme(PHCS).TheestimationsareobtainedbasedonGammaconjugatepriorfortheparameterundersquarederror(SE)andLinexlossfunctions.Thesimulationresultsareprovidedforthecomparisonpurposeandonedatasetisanalyzed.