Artificial intelligence (AI) can bring both opportunities and challenges to human resource
management (HRM). While scholars have been examining the impact of AI on workplace …

Having passed the primitive phases and starting to revolutionize many different fields in
some way, artificial intelligence is on its way to becoming a disruptive technology. It is also …

The theory of complex spherical fuzzy sets (CSFSs) is a mixture of two theories, ie, complex
fuzzy sets (CFSs) and spherical fuzzy sets (SFSs), to cope with uncertain and unreliable …

Based on fuzzy relational inequality, a bi-level linear programme optimizes the visible light
brightness and operating costs of access points in a wireless transmission station system …

Z-number is an effective model to describe uncertainty in the real world. Under the condition
that uncertainty reasoning is an important issue to process information, how to achieve Z …

The major success of fuzzy logic in the field of remote control opened the door to its
application in many other fields, including finance. However, there has not been an updated …

This article is about explainable artificial intelligence (XAI) for rule-based fuzzy systems [that
can be expressed generically, as]. It explains why it is not valid to explain the output of …

Unmanned aerial vehicles (UAVs) have attracted massive attention in many engineering
and practical applications in the last years for their characteristics and operation flexibility …

In principle, in applications of fuzzy techniques, we can have different complex membership
functions. In many practical applications, however, it turns out that to get a good quality result …

This survey explores the integration of learning and reasoning in two different fields of
artificial intelligence: neurosymbolic and statistical relational artificial intelligence …