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摘要

本文通过对犹豫不决三角模糊集(HTFS)和犹豫不决三角模糊集(TFS)概念的整合,提出了犹豫不决三角模糊集(HTFS)的概念,并给出了HTFS集合的各种理论操作。在https上,我们还创建了Dombi操作。我们描述了一些基于Dombi的聚合算子,如犹豫不决三角形模糊Dombi加权平均算子(HTFDW A)和犹豫不决三角形模糊Dombi加权几何算子(HTFDWG)。此外,我们在排名系统中添加了犹豫三角形dombi数的分数。为了选择最可取的选项,我们开发了一种MADM方法,其中根据HTFDO分数的值对备选方案进行排名。最后通过实例验证了所创建的聚合算子和决策方法的准确性和效率。
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Hesitant Triangular Fuzzy Dombi Operators and Its Applications
In this research, the concept of hesitant triangular fuzzy set (HTFS) by integrating HFS and TFS concepts, and we give various HTFS set theoretical operations. On HTFSs, we also create Dombi operations. We describe some Dombi-based aggreagation operators, such as the hesitant triangular fuzzy Dombi weighted averaging operator (HTFDW A) and the hesitant triangular fuzzy Dombi weighted Geometric operator (HTFDWG). Additionally, we add a score for hesitant triangular dombi numbers to the ranking system. In order to choose the most preferable option, we develop a MADM approach where the alternatives are ranked according to the values of the score of HTFDO. The accuracy and efficiency of the created aggregation operators and decision-making approach are finally shown through real-world examples.
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