Following the introduction of effective protein-polysaccharide conjugate vaccines against capsular group C meningococcal disease in Europe, meningococci of capsular group B remain a major cause of death and can result in debilitating sequelae. The outer membrane proteins PorA and FetA have previously been shown to induce bactericidal antibodies in humans. Despite considerable antigenic variatio...

the classification and regression trees (cart) possess the advantage of being able to handlelarge data sets and yield readily interpretable models. in spite to these advantages, they are alsorecognized as highly unstable classifiers with respect to minor perturbations in the training data.in the other words methods present high variance. fuzzy logic brings in an improvement in theseaspects due ...

Abstract Reducing the system failure rate of logistics service supply chain (LSSC) is the basic guarantee and supporting conditions of LSSC system operational stability. The paper, regarding the automobile logistics service supply chain system composed by logistics service integrators, logistics service providers and car manufacturer as the research object, sets up the fault tree model of the a...

decision-tree algorithms provide one of the most popular methodologies for symbolic knowledge acquisition. the resulting knowledge, a symbolic decision tree along with a simple inference mechanism, has been praised for comprehensibility. the most comprehensible decision trees have been designed for perfect symbolic data. classical crisp decision trees (dt) are widely applied to classification t...

In this paper, the minimum spanning tree problem is investigated on the graph with fuzzy edge weights. The notion of fuzzy α-minimum spanning tree is presented based on the credibility measure, and then the solutions of the fuzzy α-minimum spanning tree problem are discussed under different assumptions. First, we respectively assume that all the edge weights are triangular fuzzy numbers and tra...

Classic inverse minimum spanning tree problem is to make the least edge weight modification such that a predetermined spanning tree is a minimum spanning tree with respect to the new edge weights. Although many applications can be formulated into this problem, fuzzy parameters are met in some real-world applications. In this paper, a type of inverse minimum spanning tree problem with fuzzy edge...

Event tree analysis is widely used for reliability and safety analyses as it can be used to specify how the system behaves under various failure conditions. Even though event tree analysis is automated, the construction of event trees is unfortunately manual, and thus error-prone. This paper proposes an automated technique to generate event trees from scenario specifications even before system ...

Event anaphora resolution plays a critical role in discourse analysis. This paper proposes a tree kernel-based framework for event pronoun resolution. In particular, a new tree expansion scheme is introduced to automatically determine a proper parse tree structure for event pronoun resolution by considering various kinds of competitive information related with the anaphor and the antecedent can...

In this paper a new method for mapping fault tree into fuzzy algorithms is introduced. This method is based on the minimal cut sets of a fault tree. This method is characterized by its one-to-one mapping from fault tree (FT) to fuzzy algorithm (FA) and vice versa. So it is consider a canonical method to map FTs into FA. Fault tree analysis (FTA) is a risk analysis technique to assess likelihood...