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 …

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 …

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 …

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 …

Provides readers with the foundations of fuzzy mathematics as well as more advanced
topics A Modern Introduction to Fuzzy Mathematics provides a concise presentation of fuzzy …

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 …

A Z-number, which is a generalization of probability and fuzzy numbers, is a novel model to
represent uncertainty in the real world. This article aims to develop discrete Z-numbers in …