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Based on the credibility theory, this paper is devoted to the fuzzy programming problem. The expected-value model of fuzzy programming problem is provided under credibility theory. For solving the fuzzy programming problem efficiently, Latin Hypercube Sampling, fuzzy simulation, Support Vector Machine and Artificial Bee Colony algorithm are integrated to build a hybrid intelligent algorithm. The proposed method has excellent consistency and efficiency in solving fuzzy programming problem, and is particularly useful for expensive systems.