A　general　multiple　attribute　decision-making　(MADM)　approach　is　proposed　to　integrate　subjective　preferences　and　objective　information　and　to　assess　the　relative　weights　of　attributes,　where　subjective　preferences　are　expressed　either　by　a　fuzzy　preference　relation　on　decision　alternatives　or　by　a　pairwise　comparison　matrix　on　the　relative　weights　of　attributes　or　by　both　of　them　and　objective　information　is　expressed　by　a　decision　matrix.　Three　special　cases　of　the　approach　are　investigated,　which　are　the　weighted　least　deviation　norm　(WLDN),　the　weighted　least-square　deviation　norm　(WLSDN)　and　the　weighted　minimax　deviation　norm　(WMDN)　approaches.　The　extension　of　the　general　approach　to　group　decision-making　and　the　choice　of　decision　parameters　are　also　discussed.　A　numerical　example　is　examined　to　show　the　applications　of　the　proposed　MADM　approaches.　(C)　2005　Elsevier　B.V.　All　rights　reserved.