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 …

Given a probability distribution, its corresponding information volume is Shannon entropy.
However, how to determine the information volume of a given mass function is still an open …

Fuzzy membership function plays an important role in fuzzy set theory. However, how to
measure the information volume of fuzzy membership function is still an open issue. The …

Since more and more blockchain platforms have been utilized in diverse business
applications, the blockchain platform evaluation becomes significant for clients. There are …

Dynamic multi-criteria decision making (DMCDM) is prevalent in real life, where the
evaluations are given sequentially across time and earlier evaluations will influence later …

Smart manufacturing is an essential part of fourth industrial revolution in which robotic
machines can control and perceive automatically to provide effectiveness and convenience …

Uncertainty is of great concern in information fusion and artificial intelligence. Dempster-
Shafer theory is a popular tool to deal with uncertainty, but it cannot effectively represent and …

Pascal triangle (known as Yang Hui Triangle in Chinese) is an important model in
mathematics while the entropy has been heavily studied in physics or as uncertainty …

Negation operation is important in intelligent information processing. Different existing
arithmetic negation, an exponential negation is presented in this paper. The new negation …

This study proposes a framework that contains four dimensions (environment, economy,
socio-cultural, and technology) and nine relevant criteria for evaluating smart office buildings …