Fourth Dimension Data Representation and Its Analysis Using Turiyam Context

In this era handling uncertainty its significance is considered as one of the crucial tasks for the dark data analysis. In this process problem arises that the data and its uncertainty exists beyond fourth dimensions. To deal with it “Turiyam set” is introduced at Int'l Conference on Operations Research and Applications (ORA 2021) which held at Guilin, China. In this talk the precise representation of fourth dimension data in turiyam context and its application for data analysis will be discussed. This logic is motivated from Yin-Yang theory of Chinese Taoism as well as Sanskrit Yamma-Yammi. One of the most suitable examples is medical diagnoses data set. Let us suppose COVID 19 data which contain fourth dimensions uncertainty for the analysis. The people who got recovered can be considered as true regions (t), people who died due to COVID 19 can be con-sidered as false regions (f), people who are still active can be considered as indeterminacy (i), people who got vaccinated can be considered as Turiya or Liberated state (l). The refusal degree means people who still did not come under these regions can be represented as 1- ( t + i + f + l ). This speech will discuss the analysis of fourth dimension data using the Turiyam context.