Fuzzy logic presents many potential applications for modelling and simulation. In particular,
this paper analyses one of the most popular fuzzy logic techniques: Mamdani systems …

Errors in input data, parameterisation, and model form cause errors and uncertainty in model
outputs. This is particularly problematic in non-linear systems where small changes …

Abstract Social Network Analysis (SNA) is becoming an important tool for investigators, but
all the necessary information is often available in a distributed environment. Currently there …

Agent-based modeling and simulation (ABMS) is a powerful analysis tool that has led to
significant contributions in the field of innovation diffusion. In this article, we examine the …

The advent of intelligent transportation systems and the growing complexity of modern
automobiles necessitated innovative approaches to fault detection and diagnostics. This …

The opacity of real-estate market involves some challenges in their agent-based simulation.
While some real-estate Web sites provide the prices of a great amount of houses publicly …

Fuzzy Logic is a framework particularly useful to formalise and deal with imprecise concepts
and statements expressed in natural language. This paper has three related aims. First, it …

Modelling of complex systems is mainly based on the decomposition of these systems in
autonomous elements, and the identification and definitio9n of possible interactions …

Background In practical research, it was found that most people made health-related
decisions not based on numerical data but on perceptions. Examples include the …

Simple Agent-Based Models (ABMs) of social influence assume that agents can perfectly
discriminate between the actions of their peers or implicitly agree on a population-wide …