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Aggregation Using Uninorms in L*-Fuzzy Set Theory for Decision-Making

机译:L *-模糊集理论中使用Uninorm进行决策的聚合

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In this research, we construct aggregation operators for decision making based on uninorms in L* -fuzzy set theory. The aggregation result depends on the arguments larger than neutral value, less than neutral value and incomparable with neutral value, which serves as frontier between good scores and bad scores. Afterwards, a detailed decision making course based on the aggregation operator is proposed, some examples are used to illustrate the proposed technique, which can overcome the defects of some existing techniques.
机译:在这项研究中,我们构造了聚合算子,用于基于L中的单项决策 * -模糊集理论。聚合结果取决于大于中性值,小于中性值且与中性值无可比拟的论点,这是好成绩与坏成绩之间的边界。然后,提出了一种基于聚集算子的详细决策过程,并通过实例说明了所提出的技术,克服了现有技术的缺陷。

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