Susan Appleby

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—In this paper we describe a method of using interval valued survey responses from multiple experts on multiple oc-cassions to produce General Type-2 fuzzy sets. In the method we propose, both the intra-and inter-person variability are modelled, with no loss of information. The resulting sets are completely determined by the data, providing an accurate(More)
The task of designing secure software systems is fraught with uncertainty, as data on uncommon attacks is limited, costs are difficult to estimate, and technology and tools are continually changing. Consequently, experts may interpret the security risks posed to a system in different ways, leading to variation in assessment. This paper presents research(More)
—Designing secure software systems is a non-trivial task as data on uncommon attacks is limited, costs are difficult to estimate, and technology and tools are continually changing. Consequently, a great deal of expertise is required to assess the security risks posed to a proposed system in its design stage. In this research we demonstrate how Evolutionary(More)
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