Clustering of Personality using Indeterminacy Based Personality Test

Triple Refined Indeterminate Neutrosophic Set (TRINS) a case of the refined neutrosophic set was introduced in [8]. The uncertain and inconsistent information which are available in real world is represented with sensitivity and accuracy by TRINS. Better precision is provided in handling indeterminacy; by classifying indeterminacy (I) into three, based on membership; as indeterminacy leaning towards truth (IT ), indeterminacy (I) and indeterminacy leaning towards false (IF ). Based on the Open Extended Jung Type Scale (OEJTS) test and TRINS, an indeterminacy based personality test was introduced [8]. A significant role is played by clustering in several real world applications. Based on a generalized distance measure between TRINS and related distance matrix, a clustering algorithm is constructed. This article proposes a Triple Refined Indeterminate Neutrosophic Minimum Spanning Tree (TRIN-MST) clustering algorithm, to cluster the data represented by TRINS. Illustrative examples using the indeterminacy based personality test are given to exhibit the applications and effectiveness of the TRIN-MST clustering algorithm.