Abstract The Dempster-Shafer (DS) evidence theory, renowned for its efficacy in processing
uncertain information, has garnered substantial attention in recent decades. A generalized …

As generalizations of single-valued information systems, interval-valued information systems
(IVISs) can better express the real data with uncertainty in some applications. Attribute …

In fuzzy rough sets, fuzzy neighborhood operators and fuzzy rough approximate operators
are mainly used by traditional methods to deal with the problem of attribute reduction (ie …

Nowadays, many extended rough set models are proposed to acquire valuable knowledge
from interval-valued information system. These existing models mainly focus on different …

Complex evidence theory (CET) is crucial in modeling uncertain information in the complex
domain. With the development of the research on CET, how to measure the conflict between …

Fuzzy-rough set theory is an efficient method for attribute reduction. It can effectively handle
the imprecision and uncertainty of the data in the attribute reduction. Despite its efficacy …

The notion of multi-granularity has been introduced into various mathematical models in
granular computing. For example, neighborhood rough sets can derive a good multi …

It is not widely acknowledged that multicriteria decision‐making (MCDM) problems in some
particular circumstances cannot be effectively solved by some traditional methods. This …

Studying the stability of the open-pit mine slope and risk assessment is of great significance
to the safety of the mine and guiding mining operations. The stability study and risk …

Recently, the classical rough set has been extended in many ways. However, some of them
are based on binary relations which only excavate “one step” information to distinguish …