This paper presents a comprehensive review of Uncertainty-Based Multidisciplinary Design
Optimization (UMDO) theory and the state of the art in UMDO methods for aerospace …

Dempster-Shafer theory offers an alternative to traditional probabilistic theory for the
mathematical representation of uncertainty. The significant innovation of this framework is …

Fuzzy logic refers to a large subject dealing with a set of methods to characterize and
quantify uncertainty in engineering systems that arise from ambiguity, imprecision, fuzziness …

Disruption cognition is critical for the development of resilient maritime transportation
systems to withstand uncertain risks and achieve sustainable development. Aiming at …

This chapter explores the topic of imprecise probabilities (IP) as it relates to model
validation. IP is a family of formal methods that aim to provide a better representation of …

Advances in computational performance have led to the development of large-scale
simulation tools for design. Systems generated using such simulation tools can fail in service …

In this paper, a systematic review of non-probabilistic reliability metrics is conducted to assist
the selection of appropriate reliability metrics to model the influence of epistemic uncertainty …

The principal purpose of this paper is to present a comprehensive overview of generalized
information theory (GIT): a research program whose objective is to develop a broad …

Epistemic uncertainty widely exists in the early design stage of complex engineering
structures or throughout the full-life cycle of innovative structure design, which should be …

Based on the setting of exchangeable bets, this paper proposes a subjectivist view of
numerical possibility theory. It relies on the assumption that when an agent constructs a …