under uncertainty. An explorative case study analyses the way NATO Special Forces use text-chat in Afghanistan. The findings … forms of uncertainty. Such combinations might trigger the emergence of unexpected biases which, in turn, generate mitigated …

This article describes how most frequently uncertainty arises due to vagueness, imprecision, partial information, etc …., are encountered in medical diagnosis. To deal with this type of uncertainty, initially fuzzy set theory (FST) was explored …

This paper proposes a model to formulate a supply chain network design (SCND) problem against uncertainty. The … realistic model regarding uncertain demand. Using Conditional Value at Risk (CVaR) to deal with this uncertainty makes the model …

using models and a ‘model' is a function of some parameters which are usually affected by uncertainty due to lack of data … uncertainty. Normally, triangular fuzzy numbers (TFNs) or trapezoidal fuzzy numbers (TrFNs) are extensively deliberated to embody … this type of uncertainty. However, in real world situations, bell-shaped fuzzy numbers may occur to characterize …

reason with uncertainty which is one of the characteristics of the world that must be handled. Probabilistic Ontologies have … probabilistic ontology construction, named Prob-Ont, by integrating uncertainty to elements of OWL ontology (especially to instances …

measures for identifying similar concepts, the ontology matching systems fails to handle uncertainty. This paper proposes a … rough set based ontology matching system to handle uncertainty which aims (i)to optimize concepts considered for matching by … criterion of realism – a decision making under uncertainty criteria. The experiments conducted in the OAEI benchmark data sets …