Decision-making process is getting harder in today’s complex environment. Decision makers face up to the uncertainty and vagueness from subjective perceptions and experiences in the decision-making process. Multi-criteria decision systems need experts in different areas. Fuzzy decision making theory can be used in many decision making areas like that. The aim of this study is to propose fuzzy TOPSIS approach for selecting facility location. Favorable labor climate, proximity to markets, community considerations, quality of life and proximity to suppliers and resources factors were evaluated to obtain the preference degree associated with each alternative for selecting the most appropriate one. By the help of the fuzzy approach, the ambiguities involved in the assessment data could be effectively represented and processed to make a more effective decision. As a result of the fuzzy TOPSIS method, Alternative 1 is the best location as its closeness coefficient is the highest.