adjustment　al gorithm　about　observation　data　with　uncertain

uncertainty　often 　exists 　in 　the 　collection　of　measurement　dataand　affects 　the 　reliabilit y　ofparameter 　estimation．this 　paper 　establishes 　a　new　ad justment　model 　in　which　uncertainty　is 　incor porated 　into 　the 　function　model　as 　a　parameter．a　new　ad justment 　criterion 　and 　its 　iterative 　al gorithmare 　given　based　on　uncertainty　propagation 　law 　in 　the 　residual 　errorin　which　the　maximum　possibleuncertainty　is　minimized．this　paper 　also 　presents 　anal yzes with　examples of 　different 　ad justmentcriteria 　and　the 　features 　of 　optimal 　solutions　using　least －squares　ad justmentuncertainty　ad justmentand　total 　least －squares　ad justment．error 　theor y　is 　extended　with　a　new　observational 　data　processingmethod　for 　uncertainty