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On distance measure and TOPSIS model for probabilistic interval-valued hesitant fuzzy sets: application to healthcare facilities in public hospitals
Grey Systems: Theory and Application ( IF 2.9 ) Pub Date : 2021-03-24 , DOI: 10.1108/gs-07-2020-0092
Jawad Ali , Zia Bashir , Tabasam Rashid

Purpose

The purpose of the development of the paper is to construct probabilistic interval-valued hesitant fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) model and to improve some preliminary aggregation operators such as probabilistic interval-valued hesitant fuzzy averaging (PIVHFA) operator, probabilistic interval-valued hesitant fuzzy geometric (PIVHFG) operator, probabilistic interval-valued hesitant fuzzy weighted averaging (PIVHFWA) operator, probabilistic interval-valued hesitant fuzzy ordered weighted averaging (PIVHFOWA) operator, probabilistic interval-valued hesitant fuzzy weighted geometric (PIVHFWG) operator and probabilistic interval-valued hesitant fuzzy ordered weighted geometric (PIVHFOWG) operator to cope with multicriteria group decision-making (MCGDM) problems in an efficient manner.

Design/methodology/approach

(1) To design probabilistic interval-valued hesitant fuzzy TOPSIS model. (2) To improve some of the existing aggregation operators. (3) To propose the Hamming distance, Euclidean distance, Hausdorff distance and generalized distance between probabilistic interval-valued hesitant fuzzy sets (PIVHFSs).

Findings

The results of the proposed model are discussed in comparison with the aggregation-based method from the related literature and found the effectiveness of the proposed model and improved aggregation operators.

Practical implications

A case study concerning the healthcare facilities in public hospital is addressed.

Originality/value

The notion of the proposed distance measure is used as rational tool to extend TOPSIS model for probabilistic interval-valued hesitant fuzzy setting.



中文翻译:

概率区间值犹豫模糊集的距离测度和TOPSIS模型:在公立医院医疗机构中的应用

目的

开发本文的目的是构建概率区间值犹豫模糊技术,通过与理想解相似的顺序偏好(TOPSIS)模型,并改进一些初步聚合算子,如概率区间值犹豫模糊平均(PIVHFA)算子,概率区间值犹豫模糊几何(PIVHFG)算子,概率区间值犹豫模糊加权平均(PIVHFWA)算子,概率区间值犹豫模糊有序加权平均(PIVHFOWA)算子,概率区间值犹豫模糊加权几何( PIVHFWG) 算子和概率区间值犹豫模糊有序加权几何 (PIVHFOWG) 算子以有效的方式处理多准则群决策 (MCGDM) 问题。

设计/方法/方法

(1) 设计概率区间值犹豫模糊TOPSIS模型。(2) 改进一些现有的聚合算子。(3)提出了概率区间值犹豫模糊集(PIVHFSs)之间的汉明距离、欧氏距离、豪斯多夫距离和广义距离。

发现

将所提出模型的结果与相关文献中基于聚合的方法进行了比较,并发现了所提出模型的有效性和改进的聚合算子。

实际影响

讨论了一个关于公立医院医疗设施的案例研究。

原创性/价值

所提出的距离度量的概念被用作扩展概率区间值犹豫模糊设置的 TOPSIS 模型的合理工具。

更新日期:2021-03-24
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