Automated reasoning is an important research direction in artificial intelligence, and resolution method is an efficient logical reasoning tool, it deserves to be studied. This paper establishes linguistic truth-valued intuitionistic fuzzy first-order logic (LTV-IFFL) system. To improve the resolution efficiency, the $(\alpha_{l}\beta)$ - lock resolution method is introduced into LTV-IFFL system and requires that the resolution literal is the literal with the smallest lock number. Its soundness and completeness are proved. Finally, we give the $(\alpha,\ \beta)$ -locked resolution of the LTV-IFFL and apply it to the example.