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Pythagorean triangular fuzzy linguistic bonferroni mean operators and their application for multi-attribute decision making

机译:毕达哥拉斯三角模糊语言Bonferroni均值算子及其在多属性决策中的应用

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Bonferroni mean (BM), one of the desirable operators that can capture the expressed interrelationship among the individual arguments. Moreover, Pythagorean fuzzy sets (PFSs) have been proved extremely effective for modeling uncertainty of the Multi-attribute decision making (MADM) problems. In this paper, we present a new extension of linguistic term called Pythagorean triangular fuzzy linguistic variables (PTFLVs) and the operational laws. Then, we further introduce the BM into Pythagorean triangular fuzzy linguistic environment and develop the Pythagorean triangular fuzzy linguistic Bonferroni mean (PTFLBM) operator and the weighted PTFLBM operator. Finally, a practical case is given to elaborate the developed operator's effectiveness.
机译:Bonferroni均值(BM)是可以捕获各个参数之间表达的相互关系的理想运算符之一。此外,毕达哥拉斯模糊集(PFS)已被证明对建模多属性决策(MADM)问题的不确定性极为有效。在本文中,我们提出了一种新的语言术语扩展,称为毕达哥拉斯三角模糊语言变量(PTFLV)和运算法则。然后,我们进一步将BM引入毕达哥拉斯三角模糊语言环境中,并开发了毕达哥拉斯三角模糊语言Bonferroni均值(PTFLBM)算子和加权PTFLBM算子。最后,给出一个实际案例来详细说明发达的操作员的有效性。

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