Q- rung orthopair probabilistic hesitant fuzzy hybrid aggregating operators in multi-criteria decision making problems

Şerif Özlü
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Abstract

With the increase of complex information in applications of decision making problems, the use of probabilistic hesitant fuzzy set structure has expanded. Therefore, this paper aims to present two new operators namely q-rung orthopair probabilistic hesitant fuzzy hybrid weighted arithmetic and geometric (q-ROPHHWAG) operator and q-rung orthopair probabilistic hesitant fuzzy hybrid ordered weighted arithmetic and geometric (q-ROPHHOWAG) operator for q>0. The presented operators are better than existing operators in many respects as adding a new parameter, having more flexible structure and presenting comparative analysis in its own. Moreover, we mention from some properties of the proposed operators. In addition to, we give an algorithm and example to indicate effective, reality and flexible of presented method and operators. Then, we solve an example over Pythagorean probabilistic hesitant fuzzy sets with our operators and the results are agreement and the offered operators have superior effect than other operators.
多标准决策问题中的 Q- rung 正对概率犹豫模糊混合聚合算子
随着决策问题应用中复杂信息的增多,概率犹豫模糊集结构的应用也在不断扩大。因此,本文旨在提出两个新的算子,即 q-rung orthopair 概率犹豫模糊混合加权算术和几何(q-ROPHHWAG)算子和 q-rung orthopair 概率犹豫模糊混合有序加权算术和几何(q-ROPHHOWAG)算子(q-rung orthopair probabilistic hesitant fuzzy hybrid ordered weighted arithmetic and geometric)。此外,我们还提到了所提算子的一些特性。此外,我们还给出了一个算法和示例,以说明所提出的方法和算子的有效性、现实性和灵活性。然后,我们用我们的算子解决了毕达哥拉斯概率犹豫模糊集的一个例子,结果是一致的,所提供的算子比其他算子有更好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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