Decision Making Analysis for Cryptocurrency Assessment Based on Picture Fuzzy Rough Numbers

Abstract

The performance of cryptocurrency stocks is essential in shaping the growth of digital assets, which have gained significant popularity in the modern era as they offer various benefits to the public, such as reduced fees and hassle-free staking. Therefore, it’s essential for companies to focus on key factors like durability, accessibility, speed, regulation, and efficient management. More investigation is necessary to truly unlock the potential of virtual staking. In order to address this question and conduct a comprehensive and insightful analysis of optimal digital equity, this study presents a ground-breaking, unified approach of entropy- Measurement of Alternatives and Ranking according to the Compromise Solution (MARCOS) approach implemented on comprehensive systems of picture fuzzy rough numbers. Picture fuzzy rough entropy technique is executed for the purpose of analyzing the worth of each crypto stake. Then, a picture fuzzy rough-MARCOS method is carried out for the alternatives prioritizing purposes. The estimation mechanism of digital shares involves the analysis of several famous crypto exchanges active in Türkiye depending upon seven crucial elements affecting the capability of each alternative. Further, the sensitivity and comparative analysis are performed for the purpose of assuring the versatility and durability of the proposed method. The shareholders may be able to follow the path built by the discoveries of the research in order to take suitable manoeuvres without enduring steep expenses.