Clustering is more popular than the expert knowledge approach in Interval Fuzzy Type-2
membership function construction because it can construct membership function …

Fuzzy logic is an approach that reflects human thinking and decision making by handling
uncertainty and vagueness using fuzzy membership functions. When a human is engaged in …

Managing cloud datacenters is the most prevailing challenging task ahead for the IT
industries. The data centers are considered to be the main source for resource provisioning …

This paper investigates the Triangular, Trapezoidal and Gaussian approximation methods
for the purpose of induction of Fuzzy Decision Trees (FDT). The generation of FDT is done …

In this paper, the use of a novel genetic fuzzy rule-based system (FRBS) is proposed for
assessing the resilience of a water resources system to hazards. The proposed software …

Fuzzy decision tree (FDT) induction is a powerful methodology to extract human
interpretable classification rules. Due to the greedy nature of FDT, there is a chance of FDT …

Abstract Fuzzy C-Means (FCM) is one of the mostly used techniques for fuzzy clustering and
proven to be robust and more efficient based on various applications. Image segmentation …

Most prevailing availability of wireless networks has elevated an interest in developing a
smart indoor environment by utilizing the hand held devices of the users. The user …

This article presents an overview of Explainable Artificial Intelligence (XAI) and its various
methods, emphasizing the role of interpretability, in present day AI systems. With AI …

Due to prevalent availability of wireless networks, there is enormous usage of mobile
devices among the public in all sectors. Locating the mobile devices using the wireless …