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Optimal fuzzy multi-criteria expansion of competence sets using multi-objectives evolutionary algorithms

机译:基于多目标进化算法的能力集最优模糊多准则扩展

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摘要

Competence set is widely used to plan the optimal expansion process of skills, abilities or strategies. However, the conventional method is concerned only with one criterion rather than multi-criteria problems. In addition, the crisp value cannot reflect the ambiguity and the uncertainty in practice. In this paper, we propose the fuzzy criteria competence set analysis. In order to obtain Pareto solutions, multi-objective evolutionary algorithm (MOEA) is employed here. A numerical example with two fuzzy criteria is also used to illustrate the proposed method.
机译:能力集被广泛用于规划技能,能力或策略的最佳扩展过程。但是,常规方法仅涉及一个准则而不是多准则问题。另外,清晰的值不能反映实践中的模糊性和不确定性。在本文中,我们提出了模糊标准能力集分析。为了获得帕累托解,这里采用了多目标进化算法(MOEA)。带有两个模糊标准的数值例子也被用来说明所提出的方法。

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