The similarity between two fuzzy sets (FSs) is an important concept in fuzzy logic. As the
research interest on general type-2 (GT2) FSs has increased recently, many similarity …

In this paper, a new approach is presented to model interval-based data using fuzzy sets
(FSs). Specifically, we show how both crisp and uncertain intervals (where there is …

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 …

Similarity measures are among the most common methods of comparing type-2 fuzzy sets
and have been used in numerous applications. However, deciding how to measure …

In this work, we generalize the notion of restricted equivalence function for type-2 fuzzy sets,
leading to the notion of extended restricted equivalence functions. We also study how under …

In the port domain, quayside container cranes are an indispensable component of maritime
freight transport. These cranes are not only costly but also associated with safety accidents …

In computing the similarity of intervals, current similarity measures such as the commonly
used Jaccard and Dice measures are at times not sensitive to changes in the width of …

Automatic image detection is one of the most important areas in computing due to its
potential application in numerous real-world scenarios. One important tool to deal with that …

In this paper we explore the practical application of the previously introduced approach [1] to
generate fuzzy sets from interval-valued data. We demonstrate two specific example …

With a growing number of areas leveraging interval-valued data-including in the context of
modeling human uncertainty (eg, in cybersecurity), the capacity to accurately and …