In　this　paper,　we　present　a　new　framework　of　fuzzy　constraint　logic　programming　language　including　negation　as　failure　which　is　a　combination　of　fuzzy　logic　and　fuzzy　relation.　We　give　the　answer　set　semantics　which　is　based　on　the　method　of　stable　model.　Although　much　work　have　been　done　for　answer　set　programming,　no　work　addressed　the　answer　set　semantics　for　fuzzy　constraint　logic　programming　with　negation　as　failure.　Also,　we　give　an　example　to　Illustrate　the　idea.　Compared　to　Zadeh＇s　compositional　rule　of　inference　for　approximate　reasoning　used　in　[9],　we　find　an　effective　and　efficient　computational　procedure　for　fuzzy　constraint　logic　programming　by　using　answer　set　semantics.　©　Springer-Verlag　Berlin　Heldelberg　2007.