Use of intuitionistic fuzzy set methods in parallel classification of image data

Abstract

Image classification is process of allocation of image data entities to classes in such a way, that individual elements of a class bear common features. We are focusing on the methods of tire tread image data classification based on intuitionistic fuzzy sets and voting mechanism. The paper presents the design, implementation and experimental evaluation of parallel algorithms for classification of tire tread images based on intuitionistic fuzzy set methods which include similarity measure, distance function and chosen intuitionistic fuzzy negations.