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Shape memory effect of polymeric composite materials filled with NiMnSbB shape memory alloy for textile materials
No full textModulator role of oral antidiabetic metformin on intestinal microbiota [Oral Antidiyabetik Metforminin Baǧirsak Mikrobiyotasi Üzerine Modülatör Rolü]
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Automatic fuzzy-DBSCAN algorithm for morphological and overlapping datasets
No full textClustering is one of the unsupervised learning problems. It is a
procedure which partitions data objects into groups. Many algorithms
could not overcome the problems of morphology, overlapping and the large
number of clusters at the same time. Many scientific communities have
used the clustering algorithm from the perspective of density, which is
one of the best methods in clustering. This study proposes a
density-based spatial clustering of applications with noise (DBSCAN)
algorithm based on the selected high-density areas by automatic
fuzzy-DBSCAN (AFD) which works with the initialization of two
parameters. AFD, by using fuzzy and DBSCAN features, is modeled by the
selection of high-density areas and generates two parameters for merging
and separating automatically. The two generated parameters provide a
state of sub-cluster rules in the Cartesian coordinate system for the
dataset. The model overcomes the problems of clustering such as
morphology, overlapping, and the number of clusters in a dataset
simultaneously. In the experiments, all algorithms are performed on
eight data sets with 30 times of running. Three of them are related to
overlapping real datasets and the rest are morphologic and synthetic
datasets. It is demonstrated that the AFD algorithm outperforms other
recently developed clustering algorithms
Group Decision Making for Hazard Analysis and Consequence Modelling Software Selection with AHP
No full textSoftware evaluation and selection have begun to be addressed as a topic
title along with the fact that microcomputers and then personal
computers have become widespread and have been used in the operations of
businesses. In this study, it was focused on the selection of software
for identifying the physical effect distances of the explosion, fire and
toxic emission, which is an important need for industrial institutions
containing, using or storing hazardous chemicals. The evaluation and
selection of software for the Hazard Analysis and Consequence Modeling
(HACM) of potential accidents was studied at first. In means of
methodology, questionnaires consisting of original questions were
applied to the experts. The results obtained from questionnaires
according to the Likert scale, were converted into Analytical Hierarchy
Process (AHP) suggestion matrices. In this way the inconsistency problem
in the pairwise comparison matrices were eliminated. As a result,
evaluation and selection were made among the HACM softwares
