Results 21 to 30 of about 559,978 (292)
Preimage Problem Inspired by the F-Transform
Mathematics, 2022 In this article, we focus on discrete data processing. We propose to use the concept of closeness, which is less restrictive than a metric, to describe a certain relationship between objects.
Jiří Janeček, Irina Perfilieva
doaj +1 more source
Using nonstationary fuzzy sets to improve the tractability of fuzzy association rules [PDF]
, 2013 Modern organisations now collect very large volumes of data about customers, suppliers and other factors which may impact upon their business. There is a clear need to be able to mine this data and present it to decision makers in a clear and coherent ...
Matthews, Stephen G. +3 more
core +1 more source
Community Partition Algorithm Based on Fuzzy Clustering [PDF]
Jisuanji gongcheng, 2016 At present,most of the community partition algorithms divide the network into several independent associations.But for some real networks,the communities are not independent of each other.There is a common node among some communities,and most of the ...
SONG Li,XIE Gang,YANG Yunyun
doaj +1 more source
JISKA (Jurnal Informatika Sunan Kalijaga), 2019 Clustering adalah metode yang membagi objek data ke dalam kelompok berdasarkan informasi yang ditemukan dalam data yang menggambarkan objek dan hubungan di antara mereka.
Max Teja Ajie Cipta Widiyanto
doaj +1 more source
Quadrature Rules for the Fm-Transform Polynomial Components
Axioms, 2022 The purpose of this paper is to reduce the complexity of computing the components of the integral Fm-transform, m≥0, whose analytic expressions include definite integrals.
Irina Perfilieva, Tam Pham, Petr Ferbas
doaj +1 more source
Performance comparison of fuzzy and non-fuzzy classification methods
Egyptian Informatics Journal, 2016 In data clustering, partition based clustering algorithms are widely used clustering algorithms. Among various partition algorithms, fuzzy algorithms, Fuzzy c-Means (FCM), Gustafson–Kessel (GK) and non-fuzzy algorithm, k-means (KM) are most popular ...
B. Simhachalam, G. Ganesan
doaj +1 more source
Fuzzy Clustering Algorithm with Histogram Based Initialization for Remotely Sensed Imagery
Advances in Electrical and Electronic Engineering, 2020 The paper presents histogram-based initialzation of Fuzzy C Means (FCM) clustering algorithm for remote sensing image analysis. The drawback of well known FCM clustering is sensitive to the choice of initial cluster centers.
Deepa Sharma, Jyoti Singhai
doaj +1 more source
Information, 2022 In this research, we propose a GIS-based framework implementing a fuzzy-based document classification method aimed at classifying urban areas by the type of criticality inherent or specific problems highlighted by citizens.
Barbara Cardone, Ferdinando Di Martino
doaj +1 more source
Assessment of Heart Disease using Fuzzy Classification Techniques
The Scientific World Journal, 2001 In this paper we discuss the classification results of cardiac patients of ischemical cardiopathy, valvular heart disease, and arterial hypertension, based on 19 characteristics (descriptors) including ECHO data, effort testings, and age and weight.
Horia F. Pop, Tudor L. Pop, Costel Sarbu
doaj +1 more source
An outlier–robust neuro–fuzzy system for classification and regression
International Journal of Applied Mathematics and Computer Science, 2021 Real life data often suffer from non-informative objects—outliers. These are objects that are not typical in a dataset and can significantly decline the efficacy of fuzzy models.
Siminski Krzysztof
doaj +1 more source