As an extension of probability theory, evidence theory is able to better handle unknown and
imprecise information. Owing to its advantages, evidence theory has more flexibility and …

D number theory is a relatively new uncertainty reasoning approach and its application has
been gaining momentum due to its distinctive features and potential advantages. This theory …

Multisource information fusion (MSIF) technologies play an important role in various fields
and practical applications. As a useful methodology to represent and handle uncertain …

How to measure the complexity of physiological signals in biological system is an open
problem. Various entropy algorithms have been presented, but most of them fail to account …

The selection of the optimal supply is an open and crucial issue in supply chain
management (SCM), which can be considered as a multi-criteria decision-making (MCDM) …

Random permutation set (RPS) is a recently introduced set based on the Dempster–Shafer
evidence theory, which considers all possible permutations of the elements within a given …

Linearity is considered as a fundamental property of significant importance in numerous
domains. A linear mathematical expression is clear, concise, and convenient for solving …

We propose a new definition of entropy of basic probability assignments (BPAs) in the
Dempster–Shafer (DS) theory of belief functions, which is interpreted as a measure of total …

There has been immense interest in uncertainty measurement because most real-world
problems are accompanied by uncertain events. Therefore, Deng entropy has been …

The total uncertainty measurement of basic probability assignment (BPA) in Dempster-
Shafer evidence theory (DSET) has always been an open issue. Although some scholars …