Steel plates bi-axially loaded are characterized by mechanical deformations whose 2D
image representations are very difficult to achieve. In this work, the authors propose an …

Similarity measures have been widely used in applications dealing with reasoning,
classification, and information retrieval. In this article, we first propose three new interval type …

In MCDM problems some criteria (attributes) having different importance are used to
determine a best alternative from many. Thus, different weight methods exist in literature to …

The preferences of Web information purchasers are rapidly evolving. Cost-effectiveness is
now becoming less regarded than cost-satisfaction, which emphasizes the purchaser's …

Following the importance of distance measures in pattern classification, and their application
to many kinds of data, crisp, fuzzy, etc, distance measures between intuitionistic fuzzy sets …

In the paper, we describe the new measure of matching fuzzy sets. The introduced measure
of perturbation of one fuzzy set by another fuzzy set is considered instead of commonly used …

We develop a detailed formal study of the different variants of the notions of similarity and
dissimilarity between fuzzy sets under the assumption of “additivity”. A measure of (dis) …

Medical data classification plays a crucial role in many medical imaging applications by
automating or facilitating the delineation of medical images. A considerable amount of …

Classification is one of the data mining processes used to predict predetermined target
classes with data learning accurately. This study discusses data classification using a fuzzy …

Intuitionistic fuzzy sets (IFSs) are used in methods of multi-criteria decision making. Some
techniques are used in each method to use intuitionistic fuzzy information. Therefore, crisp …