Optimizing decision-making with aggregation operators for generalized intuitionistic fuzzy sets and their applications in the tech industry

被引：0
|
作者：
Wasim, Muhammad [1 ]
Yousaf, Awais [1 ]
Alolaiyan, Hanan [2 ]
Akbar, Muhammad Azeem [3 ]
Alburaikan, Alhanouf [4 ]
Khalifa, Hamiden Abd El-Wahed [4 ,5 ]
机构：
[1] Islamia Univ Bahawalpur, Dept Math, Bahawalpur 63100, Pakistan
[2] King Saud Univ, Dept Math, Riyadh 12271, Saudi Arabia
[3] Lappeenranta Lahti Univ Technol, Software Engn Dept, Lappeenranta 53851, Finland
[4] Qassim Univ, Coll Sci & Arts, Dept Math, Al Badaya 51951, Saudi Arabia
[5] Cairo Univ, Fac Grad Studies Stat Res, Dept Operat & Management Res, Giza 12613, Egypt
来源：
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
关键词：
Decision-making and optimization; Intuitionistic fuzzy set; Generalized intuitionistic fuzzy set; Score function; Aggregation operators; TRANSFORMATION TECHNIQUES; SIMILARITY MEASURES; OPERATIONS;
D O I：
10.1038/s41598-024-57461-9
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Intuitionistic fuzzy sets (IFSs) represent a significant advancement in classical fuzzy set (FS) theory. This study advances IFS theory to generalized intuitionistic fuzzy sets (GIFSBs) and introduces novel operators GIFWAA, GIFWGA, GIFOWAA, and GIFOWGA, tailored for GIFSBs. The primary aim is to enhance decision-making capabilities by introducing aggregation operators within the GIFSB framework that align with preferences for optimal outcomes. The article introduces new operators for GIFSBs characterized by attributes like idempotency, boundedness, monotonicity and commutativity, resulting in aggregated values aligned with GIFNs. A comprehensive analysis of the relationships among these operations is conducted, offering a thorough understanding of their applicability. These operators are practically demonstrated in a multiple-criteria decision-making process for evaluating startup success in the Tech Industry.
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页数：23
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