TOPSIS, VIKOR and aggregation operators based on q-rung orthopair fuzzy soft sets and their applications

被引：24
|
作者：
Riaz, Muhammad [1 ]
Hamid, Muhammad Tahir [2 ]
Farid, Hafiz Muhammad Athar [1 ]
Afzal, Deeba [2 ]
机构：
[1] Univ Punjab, Dept Math, Lahore, Pakistan
[2] Univ Lahore, Dept Math & Stat, Lahore, Pakistan
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2020年 / 39卷 / 05期
关键词：
q-ROFNs; TOPSIS; aggregation operators; VIKOR; soft sets; PYTHAGOREAN MEMBERSHIP GRADES; DECISION-MAKING; ROUGH SETS; VIEW;
D O I：
10.3233/JIFS-192175
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this article, we study some concepts related to q-rung orthopair fuzzy soft sets (q-ROFSSs) together with their algebraic structure. We present operations on q-ROFSSs and their specific properties and elaborate them with real-life examples and tabular representations to develop an influx of linguistic variables based on q-rung orthopair fuzzy soft (q-ROFS) information. We present an application of q-ROFSSs to multi-criteria group decision-making (MCGDM) process related to the university choice, accompanied by algorithm and flowchart. We develop q-ROFS TOPSIS method and q-ROFS VIKOR method as extensions of TOPSIS (a technique for ordering preference through the ideal solution) and VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje), respectively. Finally, we tackle a problem of construction utilizing q-ROFS TOPSIS and q-ROFS VIKOR methods.
引用
收藏
页码：6903 / 6917
页数：15
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