This　paper　deals　with　the　multi-objective　chance　constrained　programming,　where　the　right　hand　side　of　the　constraints　are　normally　distributed　and　the　objective　functions　with　fuzzy　numbers　coefficients.　A　fuzzy　goal　programming　approach　is　developed　for　the　corresponding　deterministic　problem　by　defining　membership　values　and　aspiration　levels.　The　advantage　of　the　proposed　approach　is　the　decision-maker＇s　role　only　in　estimating　the　efficient　solution　to　avoid　or　atleast　limit　the　influences　of　his/her　knowledge　incomplete　about　the　studied　problem.　A　numerical　example　is　given　in　the　utility　of　the　paper　to　illustrate　the　applied　and　the　efficiency　of　the　approach.