Fuzzy MCDM Approach for Building Private Cloud Medical Records

This paper aims to introduce the application of Fuzzy MCDM approach to tackle the selection issue in building private cloud medical records. Vast amount medical records currently require a solution to build cloud data storage. Cloud based data storage is currently required to deal with continuous demand of electronic medical records in particular during covid 19. Private cloud data center is proposed to overcome the issue of storing daily medical records from various sources. The study proposes a Fuzzy MCDM model based on the Analytic Hierarchy Process (AHP) in choosing the best open source cloud data storage for establishing private cloud medical records. There are many perspectives to be compromised during the selection process of several open source solutions and all pairwise comparison should meet maximum inconsistecy rate of 0.1. It is finally concluded that OwnCloud is the most suitable open source solution for solving the given problem.