In this paper, we first analyze the features and shortcomings of existing stochastic programming methods. For the bottleneck of higher computational complexity, we give the concept of reliability coefficient and a quasi-linear processing pattern for chance-constrain based on mathematic expectation and variance, analyze the relationship between reliability coefficient and reliability (probability), and give the selecting strategy of reliability coefficient. Then, we establish the quasi-linear stochastic programming model, and discuss the performance of this model by an example.
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