This study proposes a methodology to improve the quality of decision-making in the software development project under uncertain conditions. To deal with the uncertainty and vagueness from subjective perception and experience of humans in the decision process, a methodology based on the extent fuzzy analytic hierarchy process modeling to assess the adequate economic ( tangible) and quality ( intangible) balance is applied. Two key factors of economic and quality are evaluated separately by fuzzy approaches and both factors' estimates are combined to obtain the preference degree associated with each software development project strategy alternative for selecting the most appropriate one. Using the proposed approach, the ambiguities involved in the assessment data can be effectively represented and processed to assure a more convincing and effective decision-making. Finally, a real case-study is given to demonstrate the potential of the methodology.