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Fostering linguistic decision-making under uncertainty: A proportional interval type-2 hesitant fuzzy TOPSIS approach based on Hamacher aggregation operators and andness optimization models

机译:在不确定性下培养语言决策:基于Hamacher聚合运营商和Andness优化模型的比例间隔类型-2犹豫不决的模糊Topsis方法

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Interval type-2 fuzzy sets (IT2 FS) have played a prominent role in the development of type-2 (T2) fuzzy logic and fuzzy systems for application to linguistic approximation transformations. Although there have been a number of studies of individual linguistic perception understanding based on T2 fuzzy logic, few of these have paid attention to the computational manipulation of group linguistic perceptions based on IT2 FS theory and methods. Proportional hesitant fuzzy linguistic term sets (PHFLTSs) allow conceptualization of group linguistic perceptions with the inclusion of generalized linguistic terms and their associated proportions. Interpreting PHFLTSs from the viewpoint of T2 fuzzy logic instead of its type-1 counterpart has the potential to provide useful results because of the ability of 112 FSs to accurately model individual comprehension in the presence of linguistic uncertainty. This paper brings a novel perspective to encoding PHFLTSs based on the concept of a proportional interval T2 hesitant fuzzy set (PIT2 HFS). PIT2 HFSs combine 112 FSs translated from generalized linguistic terms together with their proportional information. To facilitate computing with PIT2 HFSs, basic operations satisfying the closure property are defined for PIT2 HFSs based on Archimedean t-norms and s-norms. Information measurements such as a distance and a score function for PIT2 HFS are also defined. Two instrumental aggregation operators for PIT2 HFSs, namely, the Hamacher proportional interval T2 hesitant fuzzy power weighted average (Ham-PIT2HPWA) operator and the Hamacher proportional interval T2 hesitant fuzzy power weighted geometric (Ham-PIT2HPWG) operator, are investigated, and their limiting cases with respect to various parameters are discussed. Furthermore, two andness optimization models with the andness measure being the attitudinal character are constructed in a bid to determine reasonable parameter values associated with the Ham-PIT2HPWA and Ham-PIT2HPWG operato
机译:间隔类型-2模糊集(IT2 FS)在应用于语言近似变换的2型(T2)模糊逻辑和模糊系统方面发挥了突出作用。虽然基于T2模糊逻辑的个人语言看法有很多研究,但是很少有人关注基于IT2 FS理论和方法的组语言看法的计算操纵。比例犹豫不决的模糊语言术语集(PHFLTS)允许在包含广义语言术语及其相关的比例的情况下允许群体语言看法。从T2模糊逻辑的观点来解释PHFLTS,而不是其Type-1的对应物有可能提供有用的结果,因为112 FSS在语言不确定性存在下准确地模拟个人理解的能力。本文为基于比例间隔T2估图模糊集(PIT2 HFS)的概念来说,为编码PhFlts进行了一种新颖的视角。 PIT2 HFSS将112个FSS与总而言之的语言术语翻译成比例信息。为了便于使用PIT2 HFS计算,基于ARCHIMEDEAN T-NORMS和S-NURMS的PIT2 HFS为PIT2 HFS定义满足闭包性的基本操作。还定义了诸如距离和PIT2HFS的距离函数的信息测量。 PIT2 HFSS的两个仪器聚集运算符,即哈马赫比例间隔T2犹豫不决的模糊功率加权平均(HAM-PIT2HPWA)操作员和HAMACHER比例间隔T2估值的模糊功率加权几何(HAM-PIT2HPWG)操作员,并限制讨论了关于各种参数的病例。此外,具有Andness措施的两个和度优化模型是态度的态度,以指定与Ham-Pit2HPWA和Ham-Pit2HPWG Operato相关联的合理参数值

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