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首页> 外文期刊>Scientiae mathematicae Japonicae >AN INTERACTIVE FUZZY SATISFICING METHOD FOR MULTIOBJECTIVE STOCHASTIC INTEGER PROGRAMMING PROBLEMS THROUGH VARIANCE MINIMIZATION MODEL
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AN INTERACTIVE FUZZY SATISFICING METHOD FOR MULTIOBJECTIVE STOCHASTIC INTEGER PROGRAMMING PROBLEMS THROUGH VARIANCE MINIMIZATION MODEL

机译:基于方差最小化模型的多目标随机整数规划的交互式模糊满足

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摘要

In this paper, we focus on multiobjective integer programming problems with random variable coefficients in objective functions and/or constraints. For such multiobjective problems, after reformulation of them on the basis of an expectation optimization model and a variance minimization model for the chance constrained programming, incorporating fuzzy goals of the decision maker for the objective functions, we propose an interactive fuzzy satisficing method to derive a satisficing solution for the decision maker as a fusion of the stochastic programming and the fuzzy one.
机译:在本文中,我们关注目标函数和/或约束中具有随机变量系数的多目标整数规划问题。对于此类多目标问题,在机会约束规划的期望优化模型和方差最小化模型的基础上对其进行了重新表述,并结合了目标函数的决策者的模糊目标,提出了一种交互式模糊满足方法,以得出随机规划和模糊规划的融合,为决策者提供了令人满意的解决方案。

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