Fuzzy optimization is a well-known optimization problem in artificial intelligence, manufacture and management. In this paper, by analyzing the essential characteristic of fuzzy programming and the deficiencies of the existing methods, we propose the concept of synthesizing effect function for processing objective function and constraints, and further we give an axiomatic system for synthesizing effect function. Finally, we establish a general solution mode based on synthesizing effect function for fuzzy programming problem, and analyze the mode by two examples. All the results indicate that our method not only includes the existing methods for fuzzy programming, but also effectively merges the decision preferences into the solution, so it can be widely used in many fields such as complicated system optimization and artificial intelligence.