This chapter formally introduces type-2 fuzzy sets and is the backbone for the rest of this
book. It includes a lot of new terminologies. Coverage includes: the concept of a type-2 fuzzy …

This study is concerned with a design of membership functions of fuzzy sets. The
membership functions are formed in such a way that they are experimentally justifiable and …

In the paper, a new and comprehensible definition is proposed for type-2 fuzzy sets (T2
FSs), and the primary and secondary memberships function are defined respectively by …

Footprint of uncertainty (FOU) characteristics of interval type-2 membership functions (IT2-
MFs) play an important role in the performance and robustness of interval type-2 fuzzy …

Financial investment data decision-making is part of corporate financial management. Deep
Learning Algorithms (DLAs) have represented significant and meaningful promise in many …

Fuzzy clustering has emerged as one of the fundamental conceptual and algorithmic
frameworks supporting the development of information granules. Generic fuzzy clustering …

Overlap and grouping functions, as two novel continuous binary aggregation functions, have
been discussed in the literature for applications in image processing, decision making …

Abstract As Granular Computing has gained interest, more research has lead into using
different representations for Information Granules, ie, rough sets, intervals, quotient space …

This paper presents an improvised version of Manta-Ray Foraging Optimization (MRFO) by
using components in Genetic Algorithm (GA). MRFO is a recent proposed algorithm which …

The framework of Industry 3.5 has stimulated the development of smart manufacturing
systems that efficiently utilize available resources, including energy; this has led to disruptive …