Dempster–Shafer evidence theory can combine multiple sources of uncertain information to
form a consistent basic probability assignment (BPA). How to transform BPA into decision …

The information volume of mass function (IVMF) is an effective tool for measuring the
uncertainty of basic probability assignments in power sets. However, the current IVMF will …

Dempster-Shafer evidence theory (DST) is a versatile framework for handling uncertainty
and provides a reliable method for data fusion. Managing conflicts between multiple bodies …

Dempster–Shafer evidence theory (DSET) is extensively employed in multi-source data
fusion applications. Nonetheless, when belief probability assignments (BPAs) exhibit …

The green performance values of businesses are of great importance in terms of
sustainability, which includes long-term economic, social, and environmental effects. Thus …

This paper addresses the problem of inherent fuzziness in real-world data, arising from
uncertainties, complexities, and limitations of traditional statistical methods. We introduce a …

The contribution rate of equipment system-of-systems architecture (ESoSA) is an important
index to evaluate the equipment update, development, and architecture optimization. Since …

In this paper, we propose two multi-attribute group decision-making (MAGDM) algorithms
that rely on ingenious linguistic intuitionistic fuzzy (LIF) weighted Maclaurin symmetric …

To enhances the security, usability, and intelligence of knowledge management software,
this paper develops a novel knowledge management application built upon the Electron …

Introdução............................................................................................................. 2. Protocolo de
Revisão Sistemática de Literatura................................................. 2.1. Questões de …