Probabilistic Intuitionistic Fuzzy Decision Making Algorithms

In this paper, the probabilistic version of intuitionistic fuzzy decision making methods is introduced to show duality present within distance. Here, two types methods, namely, TOPSIS (PI-TOPSIS) algorithm and face identification (PIFI) are proposed. The PI-TOPSIS utilizing distance as separation measure; for its justification rankings reduced information loss multi criteria problems compared. Our other proposed method called PIFI handles Face Identification Problem. It exemplified by better benchmark indexes in comparison support vector machine, naive bais classifier, machine algorithms, that, can be used a similarity measure. well-known feature extraction techniques, Local binary pattern (LBP) Angular radial transformation (ART) employed extract features images. Further, it concluded from experimental findings, algorithms adaptive nature.