Dempster-Shafer　evidence　theory　is　an　important　tool　in　the　fields　of　information　fusion.　However　Dempster＇s　rule　of　combination　cannot　efficiently　handle　highly　conflicting　evidence　combination　for　it　can　arouse　counter-intuitive　behaviors.　To　deal　with　such　a　problem,　a　novel　weighted　average　evidence　combination　approach　is　proposed.　Not　only　the　distance　of　evidence　but　also　the　uncertainty　measure　is　utilized　to　determine　the　weights　of　the　bodies　of　evidence.　Based　on　the　weighted　averaged　BOE　and　Dempster＇s　rule　of　combination,　the　rational　combination　results　can　be　obtained.　The　experimental　results　show　that　the　method　proposed　can　effectively　handle　conflicting　evidence　combination　with　better　convergence.