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首页> 外文期刊>International journal of knowledge engineering and soft data paradigms >Strict and efficient solution methods for robust programming problems with ellipsoidal distributions under fuzziness
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Strict and efficient solution methods for robust programming problems with ellipsoidal distributions under fuzziness

机译：模糊条件下具有椭圆形分布的鲁棒编程问题的严格有效求解方法

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摘要

This paper considers robust programming problems with ellipsoidal distributions including fuzziness. Since this problem is not well-defined due to randomness and fuzziness, it is hard to solve it directly. Therefore, introducing chance constraints, fuzzy goal and necessity measures, the proposed model is transformed into the deterministic equivalent problems. Furthermore, since it is difficult to solve the main problem analytically and efficiently due to nonlinear programming, the solution method is constructed introducing an appropriate parameter and performing the equivalent transformations. By providing a numerical example, the feature of the proposed model is obtained.
机译：本文考虑了具有模糊分布的椭圆形分布的鲁棒编程问题。由于该问题由于随机性和模糊性而无法很好地定义，因此很难直接解决它。因此，引入机会约束，模糊目标和必要性措施，将所提出的模型转化为确定性等价问题。此外，由于由于非线性编程而难以解析有效地解决主要问题，因此构造了引入适当参数并进行等效变换的求解方法。通过提供一个数值示例，可以得出建议模型的特征。

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