The study aim to formulate and solve discrete multi criteria decision making (D - MCDM) problems by using similarity analysis method. This major advantages of this approach is that data, functions, many D-MCDM methods and decision makers preference in D-MCDM can be integrated in logical structure. The combination of fuzzy logic and multiple criteria decision making (MCDM) provides a promising theoretical framework for the evaluation of alternative farming system. In this paper to study concepts of fuzzy logic and MCDM are integrated and applied to a case study for selecting the best performing irrigation subsystem.