Abstract
There are various payment setups that are available which enables us to effortlessly carry out transactions uninterruptedly from any place utilizing gadgets with network connections. Internet is a place with numerous risks, threats, and vulnerabilities along with accessibility of security abuses, and to address all these security issues related threats have become extremely challenging for each organization as well as for individuals and to select the most appropriate payment method has become challenging. In this paper, intuitionistic fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method for multi-criteria decision-making (MCDM) is proposed to rank the alternatives while Shannon’s entropy is utilized for weighting criteria. The proposed model is applied to select the online payment method based on several criteria, the existing online payment methods are compared with cryptocurrency Bitcoin.
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Parveen, T., Arora, H.D., Alam, M. (2020). Intuitionistic Fuzzy Shannon Entropy Weight Based Multi-criteria Decision Model with TOPSIS to Analyze Security Risks and Select Online Transaction Method. In: Sharma, H., Govindan, K., Poonia, R., Kumar, S., El-Medany, W. (eds) Advances in Computing and Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-0222-4_1
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