Index Matrix Representation of Data Storage Structures Using Intuitionistic Fuzzy Logic

In the current research work a big data structure representation using extended intuitionistic fuzzy index matrix (EIFIM) is presented. The investigation is based on the theories of index matrices, intuitionistic fuzzy sets and databases. It is known that big data systems use different data structures. The data warehouses are implemented to integrate structured datasets. A data lake provides storing capabilities for unstructured data. Nowadays, the two concepts are integrated in data lakehouse platforms that provide facilities for structured, semi-structured and unstructured data. The open-source framework for managing and processing huge amounts of data Hadoop is observed. More precisely, the HDFS (Hadoop Distributed File System) organization is discussed. The aim of the investigation is to present big data structure using EIFIM. User access through big data system environment to reach files and other resources is analyzed. The intuitionistic fuzzy logic is applied to evaluate the big data system processes.