Computational Intelligence comprises concepts, paradigms, algorithms, and
implementations of systems that are supposed to exhibit intelligent behavior in complex …

This is an obvious fact that a significant number of accidents happening each year are due
to the failure of aircraft systems' components. To manage this risk, Failure Mode and Effects …

This paper describes a new technique, based on fuzzy logic, for prioritizing failures for
corrective actions in a Failure Mode, Effects and Criticality Analysis (FMECA). As in a …

In this paper, we contribute to the theory and development of defuzzification techniques. First
we define the core of a fuzzy set. Then we formulate a set of criteria for defuzzification in …

The marine industry is recognising the powerful techniques that can be used to perform risk
analysis of marine systems. One technique that has been applied in both national and …

A drawback of traditional forecasting methods is that they can not deal with forecasting
problems in which the historical data are represented by linguistic values. Using fuzzy time …

This paper proposes a quantitative human reliability analysis (HRA) model based on fuzzy
logic theory, Bayesian network, and cognitive reliability & error analysis method (CREAM) …

Human error is a significant factor triggering oil tanker collisions. Drawbacks jeopardizing
the effectiveness of human error analysis from traditional studies are spotted. This study …

Defuzzification is used to transform fuzzy inference results into crisp output. The standard
defuzzification methods fail in some applications. It is, therefore, important to select …

This paper explores the application of Fuzzy Cognitive Maps (FCM) to Failure Modes and
Effects Analysis (FMEA). FMEAs are used in reliability and safety evaluations of complex …