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Fuzzy cross entropy of interval-valued intuitionistic fuzzy sets and its optimal decision-making method based on the weights of alternatives

机译:区间值直觉模糊集的模糊交叉熵及其基于选择权的最优决策方法

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摘要

A fuzzy cross entropy of the interval-valued intuitionistic fuzzy sets (IVlFSs) (so-called IVIFS cross entropy) is proposed by analogy with the intuitionistic fuzzy cross entropy. In its application to decision-making problems, its optimal decision-making method based on the weights of alternatives is established in which criterion values for alternatives are IVlFSs and the criterion weights are known information. We utilize the interval-valued intuitionistic fuzzy weighted aggregation operators to aggregate the interval-valued intuitionistic fuzzy information corresponding to each alternative, and then with the ideal and anti-ideal information measures of IVIFS cross entropy, an objective function is constructed to derive the optimal evaluation for the weight of each alternative. The ranking of alternatives and the best one can be determined directly on the basis of the weights of alternatives. Finally, two illustrative examples demonstrate the efficiency of the proposed decision-making method.
机译:类似于直觉模糊交叉熵,提出了区间值直觉模糊集(IVlFSs)的模糊交叉熵(所谓的IVIFS交叉熵)。在将其应用于决策问题时,建立了基于替代权重的最优决策方法,其中替代权衡标准值为IVlFS,准则权重为已知信息。我们利用区间直觉模糊加权聚集算子对每个备选方案对应的区间直觉模糊信息进行聚集,然后利用IVIFS交叉熵的理想和反理想信息量度,构造目标函数来得出最优值。评估每个替代方案的权重。替代方案的排名和最佳方案的排名可以直接根据替代方案的权重确定。最后,两个示例说明了所提出决策方法的有效性。

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