Ordering blockchain technology for multinational companies based on Yager aggregation operators under bipolar fuzzy information

【Author】 Ur Rehman, Ubaid; Mahmood, Tahir

【Source】JOURNAL OF APPLIED MATHEMATICS AND COMPUTING

【影响因子】2.196

【Abstract】Blockchain technology is a digital ledger technology that is used to store and manage data in a decentralized and secure way. It is essentially a database that is distributed across a network of computers, and every block of data is connected to the prior block, forming a chain of blocks (hence the name "blockchain"). Blockchain technology can transform the way multinational companies operate, enabling them to operate more efficiently, securely, and transparently in a globalized business environment. The selection of the best and finest blockchain technology for any multinational company is not an easy task. Thus, in this script, we generate primary operations relying on Yager t-norm and t-conorm for bipolar fuzzy information and then generate aggregation operators under bipolar fuzzy information such as bipolar fuzzy Yager weighted averaging, bipolar fuzzy Yager ordered weighted averaging, bipolar fuzzy Yager weighted geometric and bipolar fuzzy Yager ordered weighted geometric operators based on initiated operations. Moreover, we generate an approach to decision-making by employing the generated operators to tackle real-life decision-making dilemmas. Afterward, we initiate a case study i.e., ordering blockchain technology for Multinational companies. Towards the end of this script, to reveal the superior qualities and benefits of the generated work, we conduct a comparative analysis between the current and generated work.

【Keywords】Blockchain technology; Yager t-norm and t-conorm; Aggregation operators; Bipolar fuzzy information

【发表时间】2024 2024 AUG 2

【收录时间】2024-08-10

【文献类型】实验仿真

【主题类别】

区块链应用-实体经济-商业领域