The Intuitionistic Fuzzy Set (IFS) is a powerful extension of Fuzzy Set (FS) used to handle vagueness and uncertainty. The correlation coefficient is an established tool for finding the strength of relationships between two IFSs. This study proposes a new approach for finding a correlation...

This study focuses on forming planar subgraphs in fuzzy graphs where the planarity value is not equal to 1. The paper commences by introducing the concepts of vertex-deletion (VD) and edge-deletion (ED) operations applied to fuzzy graphs. These operations aim to derive the fuzzy planar subgraphs...

This study aims to evaluate essential performance indicators of energy storage investments with a novel decision-making model. The first stage includes weighting the selected criteria with Spherical fuzzy TOPSIS-based DEMATEL, called TOP-DEMATEL. In the second stage, seven emerging countries are...

Topological relation between geographical objects is one of the key components of the Geographical Information System (GIS). Considering the objects to be exact with sharp boundaries, four intersection, and nine intersection matrices initiated the study of calculating the topological relations....

Entropy plays a vital role within fuzzy set theory as it quantifies the level of uncertainty present in the data. This study proposes a novel entropy measure tailored for Picture Fuzzy Sets (PIFS). This entropy measure is formulated based on the axioms developed for PIFS entropy, ensuring its...

Groundwater recharge is crucial in developing groundwater sources in an area for regional growth. One of the essential natural water resources is groundwater, which differs geographically in quality and amount. Groundwater resources are under great strain due to growing urbanization and...

Many hysteresis models have been proposed for the simulation of the nonlinear behavior of structures each of which has certain advantages depending on specific applications and desired objectives. The Bouc-Wen-Baber-Noori model is one of the hysteresis models that has been utilized for a wide...

With the development of the internet and the availability of smart phones, online shopping and the number of digital buyers have increased enormously under the present social context (COVID-19). The major pitfall of this marketing system is the random non-availability of/refusal by customers....

Deep neural networks (DNNs) have been applied to predict the cycle times of jobs in manufacturing accurately. However, the prediction mechanism of a DNN is complex and difficult to communicate. This limits its acceptability (or practicability) in real-world applications. An explainable...

Software testing is one of the most important phases in the software development life cycle. Software testing cannot ensure successful outcomes until and unless done perfectly. For enhanced testing, it is extremely important to identify and prioritize the parameters that influence the testing...