Evaluation of Cryptocurrencies Dynamically Based on Users' Preferences Using AHP


Zakieh A. R., UTKU S., Amroush F.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Turkey, 19 - 21 July 2022, vol.505, pp.540-547 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 505
  • Doi Number: 10.1007/978-3-031-09176-6_62
  • City: Bornova
  • Country: Turkey
  • Page Numbers: pp.540-547
  • Keywords: Blockchain, Cryptocurrencies, On-chain analysis, Decision support system, AHP
  • Istanbul University Affiliated: No

Abstract

The fast pace of creating new cryptocurrencies makes it hard or even impossible to know which one of them best suits an investor's needs. Increasingly, investors are starting to need a decision support system with which they can determine which cryptocurrencies are suitable for investment and which ones are not. In the formation of a decision support system, it is necessary to create suggestions according to personal preferences and tendencies. In this study, a decision support system was developed. The system allows investors to understand what they need and offers them cryptocurrencies that suit their preferences. On-chain parameters instead of off-chain ones were used for efficiency. In the developed system, a set of on-chain features is asked of investors, and individual weights are calculated for the selected features using the Analytic Hierarchy Process (AHP) algorithm. Using the calculated weights and the investor's preferences, the system gives each cryptocurrency a mark of 100 and sorts the cryptocurrencies based on the mark where the system will provide different recommendations for each investor. We defined and determined the most important on-chain features. In addition, based on the answers of a focus group of cryptocurrency experts and investors, we concluded that the most important on-chain features to be considered for investment are High Volume, High Total Staked and High Percentage of Total Supply Circulating.