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One of the main applications of fuzzy techniques is to formalize the notions of "typical", "representative", etc. The main idea behind fuzzy techniques is that they formalize expert knowledge expressed by words from natural language. In this paper, we show that if we do not use this knowledge, i.e., if we only use the data, then selecting the most representative sample becomes...
In general, human being are rational decision makers, but in many situations, they exhibit unexplained "inertia", reluctance to switch to a better decision. In this paper, we show that this seemingly irrational behavior can be explained if we take uncertainty into account; we also explain how this phenomenon can be utilized in education.
Ordering alternatives in interval-based multi- criteria decision making problems is not a trivial task when the intervals of preference are overlapping. In this paper, we aim at giving a rational and natural way of ranking alternatives by computing the degrees of preference, taking into consideration the upper and lower bounds of the interval of preference as well as its width. We slightly modify...
In practice, it is often necessary to make a decision under uncertainty. In the case of interval uncertainty, for each alternative i, instead of the exact value vi of the objective function, we only have an interval vi = [vi-,vi-.] of possible values. In this case, it is reasonable to assume that each value vi is uniformly distributed on the corresponding interval [vi-,vi-.], and to take the probability...
The aim of this paper is to present a theoretically sound approach to evaluate the impact of an attack on a computer system. However, let us note that this approach is general enough to be applied to any critical infrastructure. More specifically, we propose to use fuzzy measures and integrals, in a decision-theoretic setting to measure the consequences of an attack on a computer network. Any computer...
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