In this work, the reliability of complex systems under consideration imprecision is addressed. By joining two methods coming from different fields, namely, structural and system reliability, a novel methodology derived. The concepts survival signature, fuzzy probability theory versions non-intrusive stochastic simulation (NISS) are adapted merged, providing an efficient approach to quantify tak...

With the increasing complexity of networked systems has come the trade-off of security versus functionality; a strictly secured system is often an unusable system. As a consequence, users often entirely bypass security in order to get their job done. We consider how similarity techniques that are used by casebased reasoning systems can be used to provide a degree of control over how strictly/pr...

  In order to have better insight of project characteristics, different kinds of fuzzy analysis for project networks have been recently proposed, most of which consider activities duration as the main and only source of imprecision and vagueness, but as it is usually experienced in real projects, the structure of the network is also subject to changes. In this paper we consider three types of i...

Adaptability is an essential property of many sensory systems, enabling maintenance of a sensitive response over a range of background stimulus levels. In bacterial chemotaxis, adaptation to the preset level of pathway activity is achieved through an integral feedback mechanism based on activity-dependent methylation of chemoreceptors. It has been argued that this architecture ensures precise a...

An important component of spatial data quality is the imprecision resulting from the resolution at which data are represented. Current research on topics such as spatial data integration and generalisation needs to be well-founded on a theory of multi-resolution. This paper provides a formal framework for treating the notion of resolution and multi-resolution in geographic spaces. It goes furth...

Databases are models of the real world. Yet, our knowledge of the real world is often imperfect, thus challenging our ability to create databases of integrity. To uphold the integrity of a database in situations where knowledge of the real world is imperfect, one may either (1) restrict the model to that portion of the real world about which perfect information is available, or (2) develop form...