Fuzzy data has grown to be an important factor in data mining. Whenever uncertainty exists, simulation can be used as a model. Simulation is very flexible, although it can involve significant levels of computation. This article discusses fuzzy decision-making using the grey related analysis method. Fuzzy models are expected to better reflect decision-making uncertainty, at some cost in accuracy...

An inverse spanning tree problem is to make the least modification on the edge weights such that a predetermined spanning tree is a minimum spanning tree. In this paper, based on the notion of fuzzy α-minimum spanning tree, the inverse spanning tree problem with fuzzy edge weights is discussed and formulated as a fuzzy programming model with some chance constraints. It shows that when all the e...

This paper reviews the theoretical bases of the barrier modelling analysis, and introduces a novel approach for considering the barrier effects on the probability of the events through the event tree analysis. A structure for modelling barrier sets is developed. Using the techniques of the reliability analysis, an approach for calculating the effects of the barriers on the probability of events...

In March 2009, six cases of invasive meningococ-cal disease (IMD) were reported in two communes of Goleniów County in northwest Poland. The people affected were aged from seven to 25 years. The overall incidence rate in the county was eight per 100,000 population. All the patients recovered fully. No epidemiological links were established between the cases. All were infected with Neisseria meni...

BACKGROUND PorA, fetA and fHbp are three antigen encoding genes useful for meningococcal typing and FHbp is an important component of meningococcal B vaccines. METHODS We performed sequence analysis of meningococcal porA, fetA and fHbp genes on 128 isolates from Western Australia, relating results to age, gender, race and geographic region. RESULTS We found predominantly PorA subtypes P1.22...

Meningococci can cause clusters of disease. Specimens from 1,616 patients in Germany obtained over 42 months were typed by serogrouping and sequence typing of PorA and FetA and yielded a highly diverse dataset (Simpson's index 0.963). A retrospective spatiotemporal scan statistic (SaTScan) was applied in an automated fashion to identify clusters for each finetype defined by serogroup variable r...

This paper presents a new hierarchical tree approach to clustering fuzzy data, namely extensional tree (ET) clustering algorithm. It defines a dendrogram over fuzzy data and using a new distance between fuzzy numbers based on -cuts. The present work is based on hierarchical clustering algorithm unlike existing methods which improve FCM to support fuzzy data. The Proposed ET clustering algorithm...

A new technique presents to improve the performance of dynamic voltage restorer (DVR) for voltage sag mitigation. This control scheme is based on cuckoo search algorithm with tree fuzzy rule based classifier (CSA-TFRC). CSA is used for optimizing the output of TFRC so the classification output of the network is enhanced. While, the combination of cuckoo search algorithm, fuzzy and decision tree...